Update v8.16.6

AWS EC2 User Data Retrieval for EC2 Instance

Identifies discovery request DescribeInstanceAttribute with the attribute userData and instanceId in AWS CloudTrail logs. This may indicate an attempt to retrieve user data from an EC2 instance. Adversaries may use this information to gather sensitive data from the instance such as hardcoded credentials or to identify potential vulnerabilities. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that identifies when aws.cloudtrail.user_identity.arn requests the user data for a specific aws.cloudtrail.flattened.request_parameters.instanceId from an EC2 instance in the last 14 days.

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Process Backgrounded by Unusual Parent

This rule identifies processes that are backgrounded by an unusual parent process. This behavior may indicate a process attempting to evade detection by hiding its parent process.

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Suspicious Usage of bpf_probe_write_user Helper

This rule monitors the syslog log file for messages related to instances of a program using the bpf_probe_write_user helper. The bpf_probe_write_user helper is used to write data to user space from a BPF program. Unauthorized use of this helper can be indicative of an eBPF rootkit or other malicious activity.

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Potential File Transfer via Curl for Windows

Identifies Curl for Windows making an HTTP request. Adversaries could abuse Curl to download files or upload data to a remote URL.

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Command Execution via ForFiles

Detects attempts to execute a command via the forfiles Windows utility. Adversaries may use this utility to proxy execution via a trusted parent process.

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File with Right-to-Left Override Character (RTLO) Created/Executed

Identifies the creation or execution of files or processes with names containing the Right-to-Left Override (RTLO) character, which can be used to disguise the file extension and trick users into executing malicious files.

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Execution of a Downloaded Windows Script

Identifies the creation of a Windows script downloaded from the internet followed by the execution of a scripting utility. Adversaries may use Windows script files for initial access and execution.

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Web Application Suspicious Activity: POST Request Declined

A POST request to a web application returned a 403 response, which indicates the web application declined to process the request because the action requested was not allowed.

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Web Application Suspicious Activity: Unauthorized Method

A request to a web application returned a 405 response, which indicates the web application declined to process the request because the HTTP method is not allowed for the resource.

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Web Application Suspicious Activity: sqlmap User Agent

This is an example of how to detect an unwanted web client user agent. This search matches the user agent for sqlmap 1.3.11, which is a popular FOSS tool for testing web applications for SQL injection vulnerabilities.

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Suspicious File Downloaded from Google Drive

Identifies suspicious file download activity from a Google Drive URL. This could indicate an attempt to deliver phishing payloads via a trusted webservice.

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Potential Non-Standard Port SSH connection

Identifies potentially malicious processes communicating via a port paring typically not associated with SSH. For example, SSH over port 2200 or port 2222 as opposed to the traditional port 22. Adversaries may make changes to the standard port a protocol uses to bypass filtering or muddle analysis/parsing of network data.

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Potential Cookies Theft via Browser Debugging

Identifies the execution of a Chromium based browser with the debugging process argument, which may indicate an attempt to steal authentication cookies. An adversary may steal web application or service session cookies and use them to gain access web applications or Internet services as an authenticated user without needing credentials.

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Active Directory Forced Authentication from Linux Host - SMB Named Pipes

Identifies a potential forced authentication using related SMB named pipes. Attackers may attempt to force targets to authenticate to a host controlled by them to capture hashes or enable relay attacks.

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Agent Spoofing - Mismatched Agent ID

Detects events that have a mismatch on the expected event agent ID. The status "agent_id_mismatch/mismatch" occurs when the expected agent ID associated with the API key does not match the actual agent ID in an event. This could indicate attempts to spoof events in order to masquerade actual activity to evade detection.

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Agent Spoofing - Multiple Hosts Using Same Agent

Detects when multiple hosts are using the same agent ID. This could occur in the event of an agent being taken over and used to inject illegitimate documents into an instance as an attempt to spoof events in order to masquerade actual activity to evade detection.

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WebServer Access Logs Deleted

Identifies the deletion of WebServer access logs. This may indicate an attempt to evade detection or destroy forensic evidence on a system.

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Tampering of Shell Command-Line History

Adversaries may attempt to clear or disable the Bash command-line history in an attempt to evade detection or forensic investigations.

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Elastic Agent Service Terminated

Identifies the Elastic endpoint agent has stopped and is no longer running on the host. Adversaries may attempt to disable security monitoring tools in an attempt to evade detection or prevention capabilities during an intrusion. This may also indicate an issue with the agent itself and should be addressed to ensure defensive measures are back in a stable state.

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ROT Encoded Python Script Execution

Identifies the execution of a Python script that uses the ROT cipher for letters substitution. Adversaries may use this method to encode and obfuscate part of their malicious code in legit python packages.

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Masquerading Space After Filename

This rules identifies a process created from an executable with a space appended to the end of the filename. This may indicate an attempt to masquerade a malicious file as benign to gain user execution. When a space is added to the end of certain files, the OS will execute the file according to it’s true filetype instead of it’s extension. Adversaries can hide a program’s true filetype by changing the extension of the file. They can then add a space to the end of the name so that the OS automatically executes the file when it’s double-clicked.

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Timestomping using Touch Command

Timestomping is an anti-forensics technique which is used to modify the timestamps of a file, often to mimic files that are in the same folder.

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Virtual Machine Fingerprinting via Grep

An adversary may attempt to get detailed information about the operating system and hardware. This rule identifies common locations used to discover virtual machine hardware by a non-root user. This technique has been used by the Pupy RAT and other malware.

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AWS SSM SendCommand with Run Shell Command Parameters

Identifies the use of the AWS Systems Manager (SSM) SendCommand API with the either AWS-RunShellScript or AWS-RunPowerShellScript parameters. The SendCommand API call allows users to execute commands on EC2 instances using the SSM service. Adversaries may use this technique to execute commands on EC2 instances without the need for SSH or RDP access. This behavior may indicate an adversary attempting to execute commands on an EC2 instance for malicious purposes. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that only flags when this behavior is observed for the first time on a host in the last 7 days.

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EggShell Backdoor Execution

Identifies the execution of and EggShell Backdoor. EggShell is a known post exploitation tool for macOS and Linux.

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Potential Widespread Malware Infection Across Multiple Hosts

This rule uses alert data to determine when a malware signature is triggered in multiple hosts. Analysts can use this to prioritize triage and response, as this can potentially indicate a widespread malware infection.

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Potential JAVA/JNDI Exploitation Attempt

Identifies an outbound network connection by JAVA to LDAP, RMI or DNS standard ports followed by a suspicious JAVA child processes. This may indicate an attempt to exploit a JAVA/NDI (Java Naming and Directory Interface) injection vulnerability.

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My First Rule

This rule helps you test and practice using alerts with Elastic Security as you get set up. It’s not a sign of threat activity.

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Zoom Meeting with no Passcode

This rule identifies Zoom meetings that are created without a passcode. Meetings without a passcode are susceptible to Zoombombing. Zoombombing is carried out by taking advantage of Zoom sessions that are not protected with a passcode. Zoombombing refers to the unwanted, disruptive intrusion, generally by Internet trolls and hackers, into a video conference call. In a typical Zoombombing incident, a teleconferencing session is hijacked by the insertion of material that is lewd, obscene, racist, or antisemitic in nature, typically resulting of the shutdown of the session.

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Multiple Alerts in Different ATT&CK Tactics on a Single Host

This rule uses alert data to determine when multiple alerts in different phases of an attack involving the same host are triggered. Analysts can use this to prioritize triage and response, as these hosts are more likely to be compromised.

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Multiple Alerts Involving a User

This rule uses alert data to determine when multiple different alerts involving the same user are triggered. Analysts can use this to prioritize triage and response, as these users are more likely to be compromised.

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Modification of Standard Authentication Module or Configuration

Adversaries may modify the standard authentication module for persistence via patching the normal authorization process or modifying the login configuration to allow unauthorized access or elevate privileges.

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Bash Shell Profile Modification

Both ~/.bash_profile and ~/.bashrc are files containing shell commands that are run when Bash is invoked. These files are executed in a user’s context, either interactively or non-interactively, when a user logs in so that their environment is set correctly. Adversaries may abuse this to establish persistence by executing malicious content triggered by a user’s shell.

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SSH Authorized Keys File Modification

The Secure Shell (SSH) authorized_keys file specifies which users are allowed to log into a server using public key authentication. Adversaries may modify it to maintain persistence on a victim host by adding their own public key(s).

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Potential Privilege Escalation via Sudoers File Modification

A sudoers file specifies the commands users or groups can run and from which terminals. Adversaries can take advantage of these configurations to execute commands as other users or spawn processes with higher privileges.

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SUID/SGID Bit Set

An adversary may add the setuid or setgid bit to a file or directory in order to run a file with the privileges of the owning user or group. An adversary can take advantage of this to either do a shell escape or exploit a vulnerability in an application with the setuid or setgid bit to get code running in a different user’s context. Additionally, adversaries can use this mechanism on their own malware to make sure they’re able to execute in elevated contexts in the future.

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Sudo Heap-Based Buffer Overflow Attempt

Identifies the attempted use of a heap-based buffer overflow vulnerability for the Sudo binary in Unix-like systems (CVE-2021-3156). Successful exploitation allows an unprivileged user to escalate to the root user.

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Sudoers File Modification

A sudoers file specifies the commands that users or groups can run and from which terminals. Adversaries can take advantage of these configurations to execute commands as other users or spawn processes with higher privileges.

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AWS CloudTrail Log Created

Identifies the creation of an AWS log trail that specifies the settings for delivery of log data.

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AWS S3 Unauthenticated Bucket Access by Rare Source

Identifies AWS CloudTrail events where an unauthenticated source is attempting to access an S3 bucket. This activity may indicate a misconfigured S3 bucket policy that allows public access to the bucket, potentially exposing sensitive data to unauthorized users. Adversaries can specify --no-sign-request in the AWS CLI to retrieve objects from an S3 bucket without authentication. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule, which means it will only trigger once for each unique value of the source.address field that has not been seen making this API request within the last 7 days. This field contains the IP address of the source making the request.

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AWS EC2 Admin Credential Fetch via Assumed Role

Identifies the first occurrence of a user identity in AWS using GetPassword for the administrator password of an EC2 instance with an assumed role. Adversaries may use this API call to escalate privileges or move laterally within EC2 instances.

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AWS IAM CompromisedKeyQuarantine Policy Attached to User

This rule looks for use of the IAM AttachUserPolicy API operation to attach the CompromisedKeyQuarantine or CompromisedKeyQuarantineV2 AWS managed policies to an existing IAM user. This policy denies access to certain actions and is applied by the AWS team in the event that an IAM user’s credentials have been compromised or exposed publicly.

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First Time Seen AWS Secret Value Accessed in Secrets Manager

An adversary with access to a compromised AWS service such as an EC2 instance, Lambda function, or other service may attempt to leverage the compromised service to access secrets in AWS Secrets Manager. This rule looks for the first time a specific user identity has programmatically retrieved a secret value from Secrets Manager using the GetSecretValue or BatchGetSecretValue actions. This rule assumes that AWS services such as Lambda functions and EC2 instances are setup with IAM role’s assigned that have the necessary permissions to access the secrets in Secrets Manager. An adversary with access to a compromised AWS service such as an EC2 instance, Lambda function, or other service would rely on the compromised service’s IAM role to access the secrets in Secrets Manager.

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Rapid Secret Retrieval Attempts from AWS SecretsManager

This rule attempts to identify rapid secret retrieval attempts from AWS SecretsManager. Adversaries may attempt to retrieve secrets from the Secrets Manager programmatically using the GetSecretValue or BatchGetSecretValue API actions.

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AWS Systems Manager SecureString Parameter Request with Decryption Flag

Detects the first occurrence of a user identity accessing AWS Systems Manager (SSM) SecureString parameters using the GetParameter or GetParameters API actions with credentials in the request parameters. This could indicate that the user is accessing sensitive information. This rule detects when a user accesses a SecureString parameter with the withDecryption parameter set to true. This is a [NewTerms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that detects the first occurrence of a specific AWS ARN accessing SecureString parameters with decryption within the last 10 days.

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AWS Management Console Brute Force of Root User Identity

Identifies a high number of failed authentication attempts to the AWS management console for the Root user identity. An adversary may attempt to brute force the password for the Root user identity, as it has complete access to all services and resources for the AWS account.

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AWS Configuration Recorder Stopped

Identifies an AWS configuration change to stop recording a designated set of resources.

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AWS EC2 Network Access Control List Deletion

Identifies the deletion of an Amazon Elastic Compute Cloud (EC2) network access control list (ACL) or one of its ingress/egress entries.

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AWS ElastiCache Security Group Created

Identifies when an ElastiCache security group has been created.

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AWS ElastiCache Security Group Modified or Deleted

Identifies when an ElastiCache security group has been modified or deleted.

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AWS GuardDuty Detector Deletion

Identifies the deletion of an Amazon GuardDuty detector. Upon deletion, GuardDuty stops monitoring the environment and all existing findings are lost.

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AWS RDS DB Instance Restored

An adversary with a set of compromised credentials may attempt to make copies of running or deleted RDS databases in order to evade defense mechanisms or access data. This rule identifies successful attempts to restore a DB instance using the RDS RestoreDBInstanceFromDBSnapshot or RestoreDBInstanceFromS3 API operations.

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Route53 Resolver Query Log Configuration Deleted

Identifies when a Route53 Resolver Query Log Configuration is deleted. When a Route53 Resolver query log configuration is deleted, Resolver stops logging DNS queries and responses for the specified configuration. Adversaries may delete query log configurations to evade detection or cover their tracks.

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AWS S3 Bucket Configuration Deletion

Identifies the deletion of various Amazon Simple Storage Service (S3) bucket configuration components.

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AWS S3 Bucket Expiration Lifecycle Configuration Added

Identifies an expiration lifecycle configuration added to an S3 bucket. Lifecycle configurations can be used to manage objects in a bucket, including setting expiration policies. This rule detects when a lifecycle configuration is added to an S3 bucket, which could indicate that objects in the bucket will be automatically deleted after a specified period of time. This could be used to evade detection by deleting objects that contain evidence of malicious activity.

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AWS S3 Bucket Server Access Logging Disabled

Identifies when server access logging is disabled for an Amazon S3 bucket. Server access logs provide a detailed record of requests made to an S3 bucket. When server access logging is disabled for a bucket, it could indicate an adversary’s attempt to impair defenses by disabling logs that contain evidence of malicious activity.

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AWS SQS Queue Purge

Identifies when an AWS Simple Queue Service (SQS) queue is purged. Adversaries may purge SQS queues to disrupt operations, delete messages, or impair monitoring and alerting mechanisms. This action can be used to evade detection and cover tracks by removing evidence of malicious activities.

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First Occurrence of STS GetFederationToken Request by User

Identifies the first occurrence of an AWS Security Token Service (STS) GetFederationToken request made by a user within the last 10 days. The GetFederationToken API call allows users to request temporary security credentials to access AWS resources. Adversaries may use this API to obtain temporary credentials to access resources they would not normally have access to.

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Insecure AWS EC2 VPC Security Group Ingress Rule Added

Identifies when a specified inbound (ingress) rule is added or adjusted for a VPC security group in AWS EC2. This rule detects when a security group rule is added that allows traffic from any IP address or from a specific IP address to common remote access ports, such as 22 (SSH) or 3389 (RDP). Adversaries may add these rules to allow remote access to VPC instances from any location, increasing the attack surface and potentially exposing the instances to unauthorized access.

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AWS WAF Access Control List Deletion

Identifies the deletion of a specified AWS Web Application Firewall (WAF) access control list.

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AWS WAF Rule or Rule Group Deletion

Identifies the deletion of a specified AWS Web Application Firewall (WAF) rule or rule group.

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AWS EC2 Deprecated AMI Discovery

Identifies when a user has queried for deprecated Amazon Machine Images (AMIs) in AWS. This may indicate an adversary whom is looking for outdated AMIs that may be vulnerable to exploitation. While deprecated AMIs are not inherently malicious or indicate breach, they may be more susceptible to vulnerabilities and should be investigated for potential security risks.

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AWS EC2 Multi-Region DescribeInstances API Calls

Identifies when a single AWS resource is making DescribeInstances API calls in more than 10 regions within a 30-second window. This could indicate a potential threat actor attempting to discover the AWS infrastructure across multiple regions using compromised credentials or a compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to gain a better understanding of the target’s infrastructure.

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AWS Discovery API Calls via CLI from a Single Resource

Detects when a single AWS resource is running multiple Describe and List API calls in a 10-second window. This behavior could indicate an actor attempting to discover the AWS infrastructure using compromised credentials or a compromised instance. Adversaries may use this information to identify potential targets for further exploitation or to gain a better understanding of the target’s infrastructure.

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AWS STS GetCallerIdentity API Called for the First Time

An adversary with access to a set of compromised credentials may attempt to verify that the credentials are valid and determine what account they are using. This rule looks for the first time an identity has called the STS GetCallerIdentity API operation in the last 15 days, which may be an indicator of compromised credentials. A legitimate user would not need to call this operation as they should know the account they are using.

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AWS Service Quotas Multi-Region GetServiceQuota Requests

Identifies when a single AWS resource is making GetServiceQuota API calls for the EC2 service quota L-1216C47A in more than 10 regions within a 30-second window. Quota code L-1216C47A represents on-demand instances which are used by adversaries to deploy malware and mine cryptocurrency. This could indicate a potential threat actor attempting to discover the AWS infrastructure across multiple regions using compromised credentials or a compromised instance.

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AWS Lambda Layer Added to Existing Function

Identifies when an Lambda Layer is added to an existing Lambda function. AWS layers are a way to share code and data across multiple functions. By adding a layer to an existing function, an attacker can persist or execute code in the context of the function.

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First Time AWS Cloudformation Stack Creation by User

This rule detects the first time a principal calls AWS Cloudwatch CreateStack or CreateStackSet API. Cloudformation is used to create a single collection of cloud resources called a stack, via a defined template file. An attacker with the appropriate privileges could leverage Cloudformation to create specific resources needed to further exploit the environment. This is a new terms rule that looks for the first instance of this behavior in the last 10 days for a role or IAM user within a particular account.

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AWS SSM Command Document Created by Rare User

Identifies when an AWS Systems Manager (SSM) command document is created by a user who does not typically perform this action. Adversaries may create SSM command documents to execute commands on managed instances, potentially leading to unauthorized access, command and control, data exfiltration and more.

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AWS SSM SendCommand Execution by Rare User

Detects the execution of commands or scripts on EC2 instances using AWS Systems Manager (SSM), such as RunShellScript, RunPowerShellScript or custom documents. While legitimate users may employ these commands for management tasks, they can also be exploited by attackers with credentials to establish persistence, install malware, or execute reverse shells for further access to compromised instances. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that looks for the first instance of this behavior by the aws.cloudtrail.user_identity.arn field in the last 7 days.

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EC2 AMI Shared with Another Account

Identifies an AWS Amazon Machine Image (AMI) being shared with another AWS account. Adversaries with access may share an AMI with an external AWS account as a means of data exfiltration. AMIs can contain secrets, bash histories, code artifacts, and other sensitive data that adversaries may abuse if shared with unauthorized accounts. AMIs can be made publicly available accidentally as well.

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AWS EC2 EBS Snapshot Shared or Made Public

Identifies AWS EC2 EBS snaphots being shared with another AWS account or made public. EBS virtual disks can be copied into snapshots, which can then be shared with an external AWS account or made public. Adversaries may attempt this in order to copy the snapshot into an environment they control, to access the data.

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AWS EC2 Full Network Packet Capture Detected

Identifies potential Traffic Mirroring in an Amazon Elastic Compute Cloud (EC2) instance. Traffic Mirroring is an Amazon VPC feature that you can use to copy network traffic from an Elastic network interface. This feature can potentially be abused to exfiltrate sensitive data from unencrypted internal traffic.

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AWS EC2 VM Export Failure

Identifies an attempt to export an AWS EC2 instance. A virtual machine (VM) export may indicate an attempt to extract or exfiltrate information.

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AWS RDS Snapshot Export

Identifies the export of an Amazon Relational Database Service (RDS) Aurora database snapshot.

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AWS RDS DB Snapshot Shared with Another Account

Identifies an AWS RDS DB snapshot being shared with another AWS account. DB snapshots contain a full backup of an entire DB instance including sensitive data that can be abused if shared with unauthorized accounts or made public. Adversaries may use snapshots to restore a DB Instance in an environment they control as a means of data exfiltration.

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AWS S3 Bucket Policy Added to Share with External Account

Identifies an AWS S3 bucket policy change to share permissions with an external account. Adversaries may attempt to backdoor an S3 bucket by sharing it with an external account. This can be used to exfiltrate data or to provide access to other adversaries. This rule identifies changes to a bucket policy via the PutBucketPolicy API call where the policy includes an Effect=Allow statement that does not contain the AWS account ID of the bucket owner.

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AWS S3 Bucket Replicated to Another Account

Identifies when the PutBucketReplication operation is used to replicate S3 objects to a bucket in another AWS account. Adversaries may use bucket replication to exfiltrate sensitive data to an environment they control.

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AWS SNS Email Subscription by Rare User

Identifies when an SNS topic is subscribed to by an email address of a user who does not typically perform this action. Adversaries may subscribe to an SNS topic to collect sensitive information or exfiltrate data via an external email address.

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AWS EventBridge Rule Disabled or Deleted

Identifies when a user has disabled or deleted an EventBridge rule. This activity can result in an unintended loss of visibility in applications or a break in the flow with other AWS services.

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AWS EC2 Encryption Disabled

Identifies disabling of Amazon Elastic Block Store (EBS) encryption by default in the current region. Disabling encryption by default does not change the encryption status of your existing volumes.

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AWS EFS File System or Mount Deleted

Detects when an EFS File System or Mount is deleted. An adversary could break any file system using the mount target that is being deleted, which might disrupt instances or applications using those mounts. The mount must be deleted prior to deleting the File System, or the adversary will be unable to delete the File System.

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AWS IAM Group Deletion

Identifies the deletion of a specified AWS Identity and Access Management (IAM) resource group. Deleting a resource group does not delete resources that are members of the group; it only deletes the group structure.

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AWS KMS Customer Managed Key Disabled or Scheduled for Deletion

Identifies attempts to disable or schedule the deletion of an AWS KMS Customer Managed Key (CMK). Deleting an AWS KMS key is destructive and potentially dangerous. It deletes the key material and all metadata associated with the KMS key and is irreversible. After a KMS key is deleted, the data that was encrypted under that KMS key can no longer be decrypted, which means that data becomes unrecoverable.

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AWS RDS Security Group Deletion

Identifies the deletion of an Amazon Relational Database Service (RDS) Security group.

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AWS Deletion of RDS Instance or Cluster

Identifies the deletion of an Amazon Relational Database Service (RDS) Aurora database cluster, global database cluster, or database instance.

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AWS RDS DB Instance or Cluster Deletion Protection Disabled

Identifies the modification of an AWS RDS DB instance or cluster to remove the deletionProtection feature. Deletion protection is enabled automatically for instances set up through the console and can be used to protect them from unintentional deletion activity. If disabled an instance or cluster can be deleted, destroying sensitive or critical information. Adversaries with the proper permissions can take advantage of this to set up future deletion events against a compromised environment.

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AWS RDS Instance/Cluster Stoppage

Identifies that an Amazon Relational Database Service (RDS) cluster or instance has been stopped.

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AWS RDS Snapshot Deleted

Identifies the deletion of an AWS RDS DB snapshot. Snapshots contain a full backup of an entire DB instance. Unauthorized deletion of snapshots can make it impossible to recover critical or sensitive data. This rule detects deleted snapshots and instances modified so that backupRetentionPeriod is set to 0 which disables automated backups and is functionally similar to deleting the system snapshot.

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Potential AWS S3 Bucket Ransomware Note Uploaded

Identifies potential ransomware note being uploaded to an AWS S3 bucket. This rule detects the PutObject S3 API call with a common ransomware note file extension such as .ransom, or .lock. Adversaries with access to a misconfigured S3 bucket may retrieve, delete, and replace objects with ransom notes to extort victims.

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AWS S3 Object Encryption Using External KMS Key

Identifies CopyObject events within an S3 bucket using an AWS KMS key from an external account for encryption. Adversaries with access to a misconfigured S3 bucket and the proper permissions may encrypt objects with an external KMS key to deny their victims access to their own data.

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AWS S3 Object Versioning Suspended

Identifies when object versioning is suspended for an Amazon S3 bucket. Object versioning allows for multiple versions of an object to exist in the same bucket. This allows for easy recovery of deleted or overwritten objects. When object versioning is suspended for a bucket, it could indicate an adversary’s attempt to inhibit system recovery following malicious activity. Additionally, when versioning is suspended, buckets can then be deleted.

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AWS IAM Password Recovery Requested

Identifies AWS IAM password recovery requests. An adversary may attempt to gain unauthorized AWS access by abusing password recovery mechanisms.

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AWS Signin Single Factor Console Login with Federated User

Identifies when a federated user logs into the AWS Management Console without using multi-factor authentication (MFA). Federated users are typically given temporary credentials to access AWS services. If a federated user logs into the AWS Management Console without using MFA, it may indicate a security risk, as MFA adds an additional layer of security to the authentication process. This could also indicate the abuse of STS tokens to bypass MFA requirements.

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SSM Session Started to EC2 Instance

Identifies the first occurrence of an AWS resource establishing a session via SSM to an EC2 instance. Adversaries may use AWS Systems Manager to establish a session to an EC2 instance to execute commands on the instance. This can be used to gain access to the instance and perform actions such as privilege escalation. This rule helps detect the first occurrence of this activity for a given AWS resource.

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AWS EC2 Instance Connect SSH Public Key Uploaded

Identifies when a new SSH public key is uploaded to an AWS EC2 instance using the EC2 Instance Connect service. This action could indicate an adversary attempting to maintain access to the instance. The rule also detects the SendSerialConsoleSSHPublicKey or SendSSHPublicKey API actions, which are logged when manually uploading an SSH key to an EC2 instance or serial connection. It is important to know that this API call happens automatically by the EC2 Instance Connect service when a user connects to an EC2 instance using the EC2 Instance Connect service via the CLI or AWS Management Console.

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AWS EC2 Instance Console Login via Assumed Role

Identifies a successful console login activity by an EC2 instance profile using an assumed role. This is uncommon behavior and could indicate an attacker using compromised credentials to further exploit an environment. An EC2 instance assumes a role using their EC2 ID as the session name. This rule looks for the pattern "i-" which is the beginning pattern for assumed role sessions started by an EC2 instance and a successful ConsoleLogin or GetSigninToken API call.

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AWS EC2 Network Access Control List Creation

Identifies the creation of an AWS Elastic Compute Cloud (EC2) network access control list (ACL) or an entry in a network ACL with a specified rule number.

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AWS EC2 Route Table Modified or Deleted

Identifies AWS CloudTrail events where an EC2 route table or association has been modified or deleted. Route table or association modifications can be used by attackers to disrupt network traffic, reroute communications, or maintain persistence in a compromised environment. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that detects the first instance of this behavior by the aws.cloudtrail.user_identity.arn field in the last 10 days.

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AWS EC2 Security Group Configuration Change

Identifies a change to an AWS Security Group Configuration. A security group is like a virtual firewall, and modifying configurations may allow unauthorized access. Threat actors may abuse this to establish persistence, exfiltrate data, or pivot in an AWS environment.

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AWS IAM Login Profile Added for Root

Detects when an AWS IAM login profile is added to a root user account and is self-assigned. Adversaries, with temporary access to the root account, may add a login profile to the root user account to maintain access even if the original access key is rotated or disabled.

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2

AWS IAM Create User via Assumed Role on EC2 Instance

Detects the creation of an AWS Identity and Access Management (IAM) user initiated by an assumed role on an EC2 instance. Assumed roles allow users or services to temporarily adopt different AWS permissions, but the creation of IAM users through these roles—particularly from within EC2 instances—may indicate a compromised instance. Adversaries might exploit such permissions to establish persistence by creating new IAM users under unauthorized conditions.

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2

AWS IAM Group Creation

Identifies the creation of a group in AWS Identity and Access Management (IAM). Groups specify permissions for multiple users. Any user in a group automatically has the permissions that are assigned to the group.

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207

AWS IAM Roles Anywhere Profile Creation

Identifies the creation of an AWS Roles Anywhere profile. AWS Roles Anywhere is a feature that allows you to use AWS Identity and Access Management (IAM) profiles to manage access to your AWS resources from any location via trusted anchors. This rule detects the creation of a profile that can be assumed from any service. Adversaries may create profiles tied to overly permissive roles to maintain access to AWS resources. Ensure that the profile creation is expected and that the trust policy is configured securely.

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3

AWS IAM Roles Anywhere Trust Anchor Created with External CA

Identifies when an AWS IAM Roles Anywhere Trust Anchor with an external certificate authority is created. AWS Roles Anywhere profiles are legitimate profiles that can be created by administrators to allow access from any location. This rule detects when a trust anchor is created with an external certificate authority that is not managed by AWS Certificate Manager Private Certificate Authority (ACM PCA). Adversaries may accomplish this to maintain persistence in the environment.

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3

AWS IAM User Created Access Keys For Another User

An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by creating a new set of credentials for an existing user. This rule looks for use of the IAM CreateAccessKey API operation to create new programmatic access keys for another IAM user.

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6

AWS Lambda Function Policy Updated to Allow Public Invocation

Identifies when an AWS Lambda function policy is updated to allow public invocation. This rule specifically looks for the AddPermission API call with the Principal set to * which allows any AWS account to invoke the Lambda function. Adversaries may abuse this permission to create a backdoor in the Lambda function that allows them to execute arbitrary code.

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2

AWS RDS Cluster Creation

Identifies the creation of a new Amazon Relational Database Service (RDS) Aurora DB cluster or global database spread across multiple regions.

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207

AWS RDS DB Instance or Cluster Password Modified

Identifies the modification of the master password for an AWS RDS DB instance or cluster. DB instances may contain sensitive data that can be abused if accessed by unauthorized actors. Amazon RDS API operations never return the password, so this operation provides a means to regain access if the password is lost. Adversaries with the proper permissions can take advantage of this to evade defenses and gain unauthorized access to a DB instance or cluster to support persistence mechanisms or privilege escalation.

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3

AWS RDS Security Group Creation

Identifies the creation of an Amazon Relational Database Service (RDS) Security group.

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207

AWS RDS Instance Creation

Identifies the creation of an Amazon Relational Database Service (RDS) Aurora database instance.

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207

AWS RDS DB Instance Made Public

Identifies the creation or modification of an AWS RDS DB instance to enable public access. DB instances may contain sensitive data that can be abused if shared with unauthorized accounts or made public. Adversaries may enable public access on a DB instance to maintain persistence or evade defenses by bypassing access controls.

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3

AWS Redshift Cluster Creation

Identifies the creation of an Amazon Redshift cluster. Unexpected creation of this cluster by a non-administrative user may indicate a permission or role issue with current users. If unexpected, the resource may not properly be configured and could introduce security vulnerabilities.

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207

AWS Route 53 Domain Transfer Lock Disabled

Identifies when a transfer lock was removed from a Route 53 domain. It is recommended to refrain from performing this action unless intending to transfer the domain to a different registrar.

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207

AWS Route 53 Domain Transferred to Another Account

Identifies when a request has been made to transfer a Route 53 domain to another AWS account.

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207

AWS Route53 private hosted zone associated with a VPC

Identifies when a Route53 private hosted zone has been associated with VPC.

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207

AWS Route Table Created

Identifies when an AWS Route Table has been created.

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208

AWS STS AssumeRole with New MFA Device

Identifies when a user has assumed a role using a new MFA device. Users can assume a role to obtain temporary credentials and access AWS resources using the AssumeRole API of AWS Security Token Service (STS). While a new MFA device is not always indicative of malicious behavior it should be verified as adversaries can use this technique for persistence and privilege escalation.

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2

AWS IAM AdministratorAccess Policy Attached to Group

An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by attaching additional permissions to user groups the compromised user account belongs to. This rule looks for use of the IAM AttachGroupPolicy API operation to attach the highly permissive AdministratorAccess AWS managed policy to an existing IAM user group.

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4

AWS IAM AdministratorAccess Policy Attached to Role

An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by attaching additional permissions to compromised IAM roles. This rule looks for use of the IAM AttachRolePolicy API operation to attach the highly permissive AdministratorAccess AWS managed policy to an existing IAM role.

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4

AWS IAM AdministratorAccess Policy Attached to User

An adversary with access to a set of compromised credentials may attempt to persist or escalate privileges by attaching additional permissions to compromised user accounts. This rule looks for use of the IAM AttachUserPolicy API operation to attach the highly permissive AdministratorAccess AWS managed policy to an existing IAM user.

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5

AWS IAM Customer-Managed Policy Attached to Role by Rare User

Detects when an AWS Identity and Access Management (IAM) customer-managed policy is attached to a role by an unusual or unauthorized user. Customer-managed policies are policies created and controlled within an AWS account, granting specific permissions to roles or users when attached. This rule identifies potential privilege escalation by flagging cases where a customer-managed policy is attached to a role by an unexpected actor, which could signal unauthorized access or misuse. Attackers may attach policies to roles to expand permissions and elevate their privileges within the AWS environment. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that uses the aws.cloudtrail.user_identity.arn and aws.cloudtrail.flattened.request_parameters.roleName fields to check if the combination of the actor ARN and target role name has not been seen in the last 14 days.

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2

AWS IAM SAML Provider Updated

Identifies when a user has updated a SAML provider in AWS. SAML providers are used to enable federated access to the AWS Management Console. This activity could be an indication of an attacker attempting to escalate privileges.

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208

AWS IAM Assume Role Policy Update

Identifies AWS CloudTrail events where an IAM role’s trust policy has been updated. The trust policy is a JSON document that defines which principals are allowed to assume the role. An attacker may attempt to modify this policy to gain the privileges of the role. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule, which means it will only trigger once for each unique value of the aws.cloudtrail.user_identity.arn and aws.cloudtrail.flattened.request_parameters.roleName fields that has not been seen making this API request within the last 14 days.

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210

AWS STS Role Assumption by Service

Identifies when a service has assumed a role in AWS Security Token Service (STS). Services can assume a role to obtain temporary credentials and access AWS resources. Adversaries can use this technique for credential access and privilege escalation. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that identifies when a service assumes a role in AWS Security Token Service (STS) to obtain temporary credentials and access AWS resources. While often legitimate, adversaries may use this technique for unauthorized access, privilege escalation, or lateral movement within an AWS environment.

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210

AWS STS Role Assumption by User

Identifies when a user or role has assumed a role in AWS Security Token Service (STS). Users can assume a role to obtain temporary credentials and access AWS resources. Adversaries can use this technique for credential access and privilege escalation. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that identifies when a service assumes a role in AWS Security Token Service (STS) to obtain temporary credentials and access AWS resources. While often legitimate, adversaries may use this technique for unauthorized access, privilege escalation, or lateral movement within an AWS environment.

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2

AWS STS AssumeRoot by Rare User and Member Account

Identifies when the STS AssumeRoot action is performed by a rare user in AWS. The AssumeRoot action allows users to assume the root member account role, granting elevated but specific permissions based on the task policy specified. Adversaries whom may have compromised user credentials, such as access and secret keys, can use this technique to escalate privileges and gain unauthorized access to AWS resources. This is a [New Terms](https://www.elastic.co/guide/en/security/current/rules-ui-create.html#create-new-terms-rule) rule that identifies when the STS AssumeRoot action is performed by a user that rarely assumes this role and specific member account.

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2

AWS STS GetSessionToken Abuse

Identifies the suspicious use of GetSessionToken. Tokens could be created and used by attackers to move laterally and escalate privileges.

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207

AWS STS Role Chaining

Identifies role chaining activity. Role chaining is when you use one assumed role to assume a second role through the AWS CLI or API. While this a recognized functionality in AWS, role chaining can be abused for privilege escalation if the subsequent assumed role provides additional privileges. Role chaining can also be used as a persistence mechanism as each AssumeRole action results in a refreshed session token with a 1 hour maximum duration. This rule looks for role chaining activity happening within a single account, to eliminate false positives produced by common cross-account behavior.

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2

AWS Bedrock Invocations without Guardrails Detected by a Single User Over a Session

Identifies multiple AWS Bedrock executions in a one minute time window without guardrails by the same user in the same account over a session. Multiple consecutive executions implies that a user may be intentionally attempting to bypass security controls, by not routing the requests with the desired guardrail configuration in order to access sensitive information, or possibly exploit a vulnerability in the system.

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2

AWS Bedrock Guardrails Detected Multiple Violations by a Single User Over a Session

Identifies multiple violations of AWS Bedrock guardrails by the same user in the same account over a session. Multiple violations implies that a user may be intentionally attempting to cirvumvent security controls, access sensitive information, or possibly exploit a vulnerability in the system.

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5

AWS Bedrock Guardrails Detected Multiple Policy Violations Within a Single Blocked Request

Identifies multiple violations of AWS Bedrock guardrails within a single request, resulting in a block action, increasing the likelihood of malicious intent. Multiple violations implies that a user may be intentionally attempting to cirvumvent security controls, access sensitive information, or possibly exploit a vulnerability in the system.

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4

Unusual High Confidence Content Filter Blocks Detected

Detects repeated high-confidence BLOCKED actions coupled with specific Content Filter policy violation having codes such as MISCONDUCT, HATE, SEXUAL, INSULTS', PROMPT_ATTACK, VIOLENCE indicating persistent misuse or attempts to probe the model’s ethical boundaries.

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6

Potential Abuse of Resources by High Token Count and Large Response Sizes

Detects potential resource exhaustion or data breach attempts by monitoring for users who consistently generate high input token counts, submit numerous requests, and receive large responses. This behavior could indicate an attempt to overload the system or extract an unusually large amount of data, possibly revealing sensitive information or causing service disruptions.

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4

AWS Bedrock Detected Multiple Attempts to use Denied Models by a Single User

Identifies multiple successive failed attempts to use denied model resources within AWS Bedrock. This could indicated attempts to bypass limitations of other approved models, or to force an impact on the environment by incurring exhorbitant costs.

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4

Unusual High Denied Sensitive Information Policy Blocks Detected

Detects repeated compliance violation BLOCKED actions coupled with specific policy name such as sensitive_information_policy, indicating persistent misuse or attempts to probe the model’s denied topics.

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2

Unusual High Denied Topic Blocks Detected

Detects repeated compliance violation BLOCKED actions coupled with specific policy name such as topic_policy, indicating persistent misuse or attempts to probe the model’s denied topics.

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2

AWS Bedrock Detected Multiple Validation Exception Errors by a Single User

Identifies multiple validation exeception errors within AWS Bedrock. Validation errors occur when you run the InvokeModel or InvokeModelWithResponseStream APIs on a foundation model that uses an incorrect inference parameter or corresponding value. These errors also occur when you use an inference parameter for one model with a model that doesn’t have the same API parameter. This could indicate attempts to bypass limitations of other approved models, or to force an impact on the environment by incurring exhorbitant costs.

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4

Unusual High Word Policy Blocks Detected

Detects repeated compliance violation BLOCKED actions coupled with specific policy name such as word_policy, indicating persistent misuse or attempts to probe the model’s denied topics.

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2

Azure Event Hub Authorization Rule Created or Updated

Identifies when an Event Hub Authorization Rule is created or updated in Azure. An authorization rule is associated with specific rights, and carries a pair of cryptographic keys. When you create an Event Hubs namespace, a policy rule named RootManageSharedAccessKey is created for the namespace. This has manage permissions for the entire namespace and it’s recommended that you treat this rule like an administrative root account and don’t use it in your application.

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104

Azure Entra MFA TOTP Brute Force Attempts

Identifies brute force attempts against Azure Entra multi-factor authentication (MFA) Time-based One-Time Password (TOTP) verification codes. This rule detects high frequency failed TOTP code attempts for a single user in a short time-span. Adversaries with valid credentials, when attempting to login to Azure portal or other Azure services, may be prompted to provide a TOTP code as part of the MFA process. If successful, adversaries can bypass MFA and gain unauthorized access to Azure resources.

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2

Azure Full Network Packet Capture Detected

Identifies potential full network packet capture in Azure. Packet Capture is an Azure Network Watcher feature that can be used to inspect network traffic. This feature can potentially be abused to read sensitive data from unencrypted internal traffic.

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104

Entra ID Device Code Auth with Broker Client

Identifies device code authentication with an Azure broker client for Entra ID. Adversaries abuse Primary Refresh Tokens (PRTs) to bypass multi-factor authentication (MFA) and gain unauthorized access to Azure resources. PRTs are used in Conditional Access policies to enforce device-based controls. Compromising PRTs allows attackers to bypass these policies and gain unauthorized access. This rule detects successful sign-ins using device code authentication with the Entra ID broker client application ID (29d9ed98-a469-4536-ade2-f981bc1d605e).

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2

Azure Entra Sign-in Brute Force against Microsoft 365 Accounts

Identifies potential brute-force attempts against Microsoft 365 user accounts by detecting a high number of failed interactive or non-interactive login attempts within a 30-minute window. Attackers may attempt to brute force user accounts to gain unauthorized access to Microsoft 365 services via different services such as Exchange, SharePoint, or Teams.

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3

Azure Entra Sign-in Brute Force Microsoft 365 Accounts by Repeat Source

Identifies potential brute-force attempts against Microsoft 365 user accounts by detecting a high number of failed interactive or non-interactive login attempts within a 30-minute window from a single source. Attackers may attempt to brute force user accounts to gain unauthorized access to Microsoft 365 services via different services such as Exchange, SharePoint, or Teams.

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3

First Occurrence of Entra ID Auth via DeviceCode Protocol

Identifies when a user is observed for the first time in the last 14 days authenticating using the deviceCode protocol. The device code authentication flow can be abused by attackers to phish users and steal access tokens to impersonate the victim. By its very nature, device code should only be used when logging in to devices without keyboards, where it is difficult to enter emails and passwords.

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2

Azure Key Vault Modified

Identifies modifications to a Key Vault in Azure. The Key Vault is a service that safeguards encryption keys and secrets like certificates, connection strings, and passwords. Because this data is sensitive and business critical, access to key vaults should be secured to allow only authorized applications and users.

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104

Azure Storage Account Key Regenerated

Identifies a rotation to storage account access keys in Azure. Regenerating access keys can affect any applications or Azure services that are dependent on the storage account key. Adversaries may regenerate a key as a means of acquiring credentials to access systems and resources.

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103

Azure Application Credential Modification

Identifies when a new credential is added to an application in Azure. An application may use a certificate or secret string to prove its identity when requesting a token. Multiple certificates and secrets can be added for an application and an adversary may abuse this by creating an additional authentication method to evade defenses or persist in an environment.

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103

Azure Automation Runbook Deleted

Identifies when an Azure Automation runbook is deleted. An adversary may delete an Azure Automation runbook in order to disrupt their target’s automated business operations or to remove a malicious runbook for defense evasion.

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103

Azure Blob Permissions Modification

Identifies when the Azure role-based access control (Azure RBAC) permissions are modified for an Azure Blob. An adversary may modify the permissions on a blob to weaken their target’s security controls or an administrator may inadvertently modify the permissions, which could lead to data exposure or loss.

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105

Azure Diagnostic Settings Deletion

Identifies the deletion of diagnostic settings in Azure, which send platform logs and metrics to different destinations. An adversary may delete diagnostic settings in an attempt to evade defenses.

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103

Azure Event Hub Deletion

Identifies an Event Hub deletion in Azure. An Event Hub is an event processing service that ingests and processes large volumes of events and data. An adversary may delete an Event Hub in an attempt to evade detection.

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103

Azure Firewall Policy Deletion

Identifies the deletion of a firewall policy in Azure. An adversary may delete a firewall policy in an attempt to evade defenses and/or to eliminate barriers to their objective.

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103

Azure Frontdoor Web Application Firewall (WAF) Policy Deleted

Identifies the deletion of a Frontdoor Web Application Firewall (WAF) Policy in Azure. An adversary may delete a Frontdoor Web Application Firewall (WAF) Policy in an attempt to evade defenses and/or to eliminate barriers to their objective.

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103

Azure Kubernetes Events Deleted

Identifies when events are deleted in Azure Kubernetes. Kubernetes events are objects that log any state changes. Example events are a container creation, an image pull, or a pod scheduling on a node. An adversary may delete events in Azure Kubernetes in an attempt to evade detection.

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103

Azure Network Watcher Deletion

Identifies the deletion of a Network Watcher in Azure. Network Watchers are used to monitor, diagnose, view metrics, and enable or disable logs for resources in an Azure virtual network. An adversary may delete a Network Watcher in an attempt to evade defenses.

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103

Azure Alert Suppression Rule Created or Modified

Identifies the creation of suppression rules in Azure. Suppression rules are a mechanism used to suppress alerts previously identified as false positives or too noisy to be in production. This mechanism can be abused or mistakenly configured, resulting in defense evasions and loss of security visibility.

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103

Azure Blob Container Access Level Modification

Identifies changes to container access levels in Azure. Anonymous public read access to containers and blobs in Azure is a way to share data broadly, but can present a security risk if access to sensitive data is not managed judiciously.

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103

Azure Command Execution on Virtual Machine

Identifies command execution on a virtual machine (VM) in Azure. A Virtual Machine Contributor role lets you manage virtual machines, but not access them, nor access the virtual network or storage account they’re connected to. However, commands can be run via PowerShell on the VM, which execute as System. Other roles, such as certain Administrator roles may be able to execute commands on a VM as well.

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103

Azure Service Principal Credentials Added

Identifies when new Service Principal credentials have been added in Azure. In most organizations, credentials will be added to service principals infrequently. Hijacking an application (by adding a rogue secret or certificate) with granted permissions will allow the attacker to access data that is normally protected by MFA requirements.

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103

Azure Kubernetes Pods Deleted

Identifies the deletion of Azure Kubernetes Pods. Adversaries may delete a Kubernetes pod to disrupt the normal behavior of the environment.

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103

Azure Resource Group Deletion

Identifies the deletion of a resource group in Azure, which includes all resources within the group. Deletion is permanent and irreversible. An adversary may delete a resource group in an attempt to evade defenses or intentionally destroy data.

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103

Azure Virtual Network Device Modified or Deleted

Identifies when a virtual network device is modified or deleted. This can be a network virtual appliance, virtual hub, or virtual router.

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103

Azure External Guest User Invitation

Identifies an invitation to an external user in Azure Active Directory (AD). Azure AD is extended to include collaboration, allowing you to invite people from outside your organization to be guest users in your cloud account. Unless there is a business need to provision guest access, it is best practice avoid creating guest users. Guest users could potentially be overlooked indefinitely leading to a potential vulnerability.

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103

Azure Automation Account Created

Identifies when an Azure Automation account is created. Azure Automation accounts can be used to automate management tasks and orchestrate actions across systems. An adversary may create an Automation account in order to maintain persistence in their target’s environment.

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103

Azure Automation Runbook Created or Modified

Identifies when an Azure Automation runbook is created or modified. An adversary may create or modify an Azure Automation runbook to execute malicious code and maintain persistence in their target’s environment.

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103

Azure Automation Webhook Created

Identifies when an Azure Automation webhook is created. Azure Automation runbooks can be configured to execute via a webhook. A webhook uses a custom URL passed to Azure Automation along with a data payload specific to the runbook. An adversary may create a webhook in order to trigger a runbook that contains malicious code.

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103

Azure Conditional Access Policy Modified

Identifies when an Azure Conditional Access policy is modified. Azure Conditional Access policies control access to resources via if-then statements. For example, if a user wants to access a resource, then they must complete an action such as using multi-factor authentication to access it. An adversary may modify a Conditional Access policy in order to weaken their target’s security controls.

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103

Azure AD Global Administrator Role Assigned

In Azure Active Directory (Azure AD), permissions to manage resources are assigned using roles. The Global Administrator is a role that enables users to have access to all administrative features in Azure AD and services that use Azure AD identities like the Microsoft 365 Defender portal, the Microsoft 365 compliance center, Exchange, SharePoint Online, and Skype for Business Online. Attackers can add users as Global Administrators to maintain access and manage all subscriptions and their settings and resources.

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103

Azure Global Administrator Role Addition to PIM User

Identifies an Azure Active Directory (AD) Global Administrator role addition to a Privileged Identity Management (PIM) user account. PIM is a service that enables you to manage, control, and monitor access to important resources in an organization. Users who are assigned to the Global administrator role can read and modify any administrative setting in your Azure AD organization.

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103

User Added as Owner for Azure Application

Identifies when a user is added as an owner for an Azure application. An adversary may add a user account as an owner for an Azure application in order to grant additional permissions and modify the application’s configuration using another account.

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103

User Added as Owner for Azure Service Principal

Identifies when a user is added as an owner for an Azure service principal. The service principal object defines what the application can do in the specific tenant, who can access the application, and what resources the app can access. A service principal object is created when an application is given permission to access resources in a tenant. An adversary may add a user account as an owner for a service principal and use that account in order to define what an application can do in the Azure AD tenant.

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103

Azure Kubernetes Rolebindings Created

Identifies the creation of role binding or cluster role bindings. You can assign these roles to Kubernetes subjects (users, groups, or service accounts) with role bindings and cluster role bindings. An adversary who has permissions to create bindings and cluster-bindings in the cluster can create a binding to the cluster-admin ClusterRole or to other high privileges roles.

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103

Statistical Model Detected C2 Beaconing Activity

A statistical model has identified command-and-control (C2) beaconing activity. Beaconing can help attackers maintain stealthy communication with their C2 servers, receive instructions and payloads, exfiltrate data and maintain persistence in a network.

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7

Statistical Model Detected C2 Beaconing Activity with High Confidence

A statistical model has identified command-and-control (C2) beaconing activity with high confidence. Beaconing can help attackers maintain stealthy communication with their C2 servers, receive instructions and payloads, exfiltrate data and maintain persistence in a network.

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6

Container Workload Protection

Generates a detection alert each time a Container Workload Protection alert is received. Enabling this rule allows you to immediately begin triaging and investigating these alerts.

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5

AWS Credentials Searched For Inside A Container

This rule detects the use of system search utilities like grep and find to search for AWS credentials inside a container. Unauthorized access to these sensitive files could lead to further compromise of the container environment or facilitate a container breakout to the underlying cloud environment.

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2

Sensitive Files Compression Inside A Container

Identifies the use of a compression utility to collect known files containing sensitive information, such as credentials and system configurations inside a container.

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3

Sensitive Keys Or Passwords Searched For Inside A Container

This rule detects the use of system search utilities like grep and find to search for private SSH keys or passwords inside a container. Unauthorized access to these sensitive files could lead to further compromise of the container environment or facilitate a container breakout to the underlying host machine.

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3

Modification of Dynamic Linker Preload Shared Object Inside A Container

This rule detects the creation or modification of the dynamic linker preload shared object (ld.so.preload) inside a container. The Linux dynamic linker is used to load libraries needed by a program at runtime. Adversaries may hijack the dynamic linker by modifying the /etc/ld.so.preload file to point to malicious libraries. This behavior can be used to grant unauthorized access to system resources and has been used to evade detection of malicious processes in container environments.

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2

Suspicious Network Tool Launched Inside A Container

This rule detects commonly abused network utilities running inside a container. Network utilities like nc, nmap, dig, tcpdump, ngrep, telnet, mitmproxy, zmap can be used for malicious purposes such as network reconnaissance, monitoring, or exploitation, and should be monitored closely within a container.

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3

Container Management Utility Run Inside A Container

This rule detects when a container management binary is run from inside a container. These binaries are critical components of many containerized environments, and their presence and execution in unauthorized containers could indicate compromise or a misconfiguration.

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3

File Made Executable via Chmod Inside A Container

This rule detects when chmod is used to add the execute permission to a file inside a container. Modifying file permissions to make a file executable could indicate malicious activity, as an attacker may attempt to run unauthorized or malicious code inside the container.

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3

Interactive Exec Command Launched Against A Running Container

This rule detects interactive exec events launched against a container using the exec command. Using the exec command in a pod allows a user to establish a temporary shell session and execute any process/command inside the container. This rule specifically targets higher-risk interactive commands that allow real-time interaction with a container’s shell. A malicious actor could use this level of access to further compromise the container environment or attempt a container breakout.

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3

Suspicious Interactive Shell Spawned From Inside A Container

This rule detects when an interactive shell is spawned inside a running container. This could indicate a potential container breakout attempt or an attacker’s attempt to gain unauthorized access to the underlying host.

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3

Netcat Listener Established Inside A Container

This rule detects an established netcat listener running inside a container. Netcat is a utility used for reading and writing data across network connections, and it can be used for malicious purposes such as establishing a backdoor for persistence or exfiltrating data.

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3

SSH Connection Established Inside A Running Container

This rule detects an incoming SSH connection established inside a running container. Running an ssh daemon inside a container should be avoided and monitored closely if necessary. If an attacker gains valid credentials they can use it to gain initial access or establish persistence within a compromised environment.

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3

SSH Process Launched From Inside A Container

This rule detects an SSH or SSHD process executed from inside a container. This includes both the client ssh binary and server ssh daemon process. SSH usage inside a container should be avoided and monitored closely when necessary. With valid credentials an attacker may move laterally to other containers or to the underlying host through container breakout. They may also use valid SSH credentials as a persistence mechanism.

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3

SSH Authorized Keys File Modified Inside a Container

This rule detects the creation or modification of an authorized_keys or sshd_config file inside a container. The Secure Shell (SSH) authorized_keys file specifies which users are allowed to log into a server using public key authentication. Adversaries may modify it to maintain persistence on a victim host by adding their own public key(s). Unexpected and unauthorized SSH usage inside a container can be an indicator of compromise and should be investigated.

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4

File System Debugger Launched Inside a Privileged Container

This rule detects the use of the built-in Linux DebugFS utility from inside a privileged container. DebugFS is a special file system debugging utility which supports reading and writing directly from a hard drive device. When launched inside a privileged container, a container deployed with all the capabilities of the host machine, an attacker can access sensitive host level files which could be used for further privilege escalation and container escapes to the host machine.

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2

Mount Launched Inside a Privileged Container

This rule detects the use of the mount utility from inside a privileged container. The mount command is used to make a device or file system accessible to the system, and then to connect its root directory to a specified mount point on the local file system. When launched inside a privileged container—​a container deployed with all the capabilities of the host machine-- an attacker can access sensitive host level files which could be used for further privilege escalation and container escapes to the host machine. Any usage of mount inside a running privileged container should be further investigated.

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2

Potential Container Escape via Modified notify_on_release File

This rule detects modification of the cgroup notify_on_release file from inside a container. When the notify_on_release flag is enabled (1) in a cgroup, then whenever the last task in the cgroup exits or attaches to another cgroup, the command specified in the release_agent file is run and invoked from the host. A privileged container with SYS_ADMIN capabilities, enables a threat actor to mount a cgroup directory and modify the notify_on_release flag in order to take advantage of this feature, which could be used for further privilege escalation and container escapes to the host machine.

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2

Potential Container Escape via Modified release_agent File

This rule detects modification of the CGroup release_agent file from inside a privileged container. The release_agent is a script that is executed at the termination of any process on that CGroup and is invoked from the host. A privileged container with SYS_ADMIN capabilities, enables a threat actor to mount a CGroup directory and modify the release_agent which could be used for further privilege escalation and container escapes to the host machine.

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2

CyberArk Privileged Access Security Error

Identifies the occurrence of a CyberArk Privileged Access Security (PAS) error level audit event. The event.code correlates to the CyberArk Vault Audit Action Code.

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103

CyberArk Privileged Access Security Recommended Monitor

Identifies the occurrence of a CyberArk Privileged Access Security (PAS) non-error level audit event which is recommended for monitoring by the vendor. The event.code correlates to the CyberArk Vault Audit Action Code.

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103

Potential Data Exfiltration Activity to an Unusual ISO Code

A machine learning job has detected data exfiltration to a particular geo-location (by region name). Data transfers to geo-locations that are outside the normal traffic patterns of an organization could indicate exfiltration over command and control channels.

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5

Potential Data Exfiltration Activity to an Unusual IP Address

A machine learning job has detected data exfiltration to a particular geo-location (by IP address). Data transfers to geo-locations that are outside the normal traffic patterns of an organization could indicate exfiltration over command and control channels.

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5

Potential Data Exfiltration Activity to an Unusual Destination Port

A machine learning job has detected data exfiltration to a particular destination port. Data transfer patterns that are outside the normal traffic patterns of an organization could indicate exfiltration over command and control channels.

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5

Potential Data Exfiltration Activity to an Unusual Region

A machine learning job has detected data exfiltration to a particular geo-location (by region name). Data transfers to geo-locations that are outside the normal traffic patterns of an organization could indicate exfiltration over command and control channels.

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5

Spike in Bytes Sent to an External Device

A machine learning job has detected high bytes of data written to an external device. In a typical operational setting, there is usually a predictable pattern or a certain range of data that is written to external devices. An unusually large amount of data being written is anomalous and can signal illicit data copying or transfer activities.

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5

Spike in Bytes Sent to an External Device via Airdrop

A machine learning job has detected high bytes of data written to an external device via Airdrop. In a typical operational setting, there is usually a predictable pattern or a certain range of data that is written to external devices. An unusually large amount of data being written is anomalous and can signal illicit data copying or transfer activities.

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5

Unusual Process Writing Data to an External Device

A machine learning job has detected a rare process writing data to an external device. Malicious actors often use benign-looking processes to mask their data exfiltration activities. The discovery of such a process that has no legitimate reason to write data to external devices can indicate exfiltration.

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5

Machine Learning Detected DGA activity using a known SUNBURST DNS domain

A supervised machine learning model has identified a DNS question name that used by the SUNBURST malware and is predicted to be the result of a Domain Generation Algorithm.

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6

Potential DGA Activity

A population analysis machine learning job detected potential DGA (domain generation algorithm) activity. Such activity is often used by malware command and control (C2) channels. This machine learning job looks for a source IP address making DNS requests that have an aggregate high probability of being DGA activity.

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6

Machine Learning Detected a DNS Request With a High DGA Probability Score

A supervised machine learning model has identified a DNS question name with a high probability of sourcing from a Domain Generation Algorithm (DGA), which could indicate command and control network activity.

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6

Machine Learning Detected a DNS Request Predicted to be a DGA Domain

A supervised machine learning model has identified a DNS question name that is predicted to be the result of a Domain Generation Algorithm (DGA), which could indicate command and control network activity.

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6

Memory Threat - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for memory signatures are received. Enabling this rule allows you to immediately begin investigating your Endpoint memory signature alerts. This rule identifies Elastic Defend memory signature detections only, and does not include prevention alerts.

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2

Memory Threat - Prevented- Elastic Defend

Generates a detection alert each time an Elastic Defend alert for memory signatures are received. Enabling this rule allows you to immediately begin investigating your Endpoint memory signature alerts. This rule identifies Elastic Defend memory signature preventions only, and does not include detection only alerts.

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2

Endpoint Security (Elastic Defend)

Generates a detection alert each time an Elastic Defend alert is received. Enabling this rule allows you to immediately begin investigating your Endpoint alerts.

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105

Behavior - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious behavior is received. Enabling this rule allows you to immediately begin investigating your Endpoint behavior alerts. This rule identifies Elastic Defend behavior detections only, and does not include prevention alerts.

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2

Behavior - Prevented - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious behavior is received. Enabling this rule allows you to immediately begin investigating your Endpoint behavior alerts. This rule identifies Elastic Defend behavior preventions only, and does not include detection only alerts.

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2

Malicious File - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious files is received. Enabling this rule allows you to immediately begin investigating your Endpoint malicious file alerts. This rule identifies Elastic Defend malicious file detections only, and does not include prevention alerts.

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2

Malicious File - Prevented - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for malicious files is received. Enabling this rule allows you to immediately begin investigating your Endpoint malicious file alerts. This rule identifies Elastic Defend malicious file preventions only, and does not include detection only alerts.

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2

Ransomware - Detected - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for ransomware are received. Enabling this rule allows you to immediately begin investigating your Endpoint ransomware alerts. This rule identifies Elastic Defend ransomware detections only, and does not include prevention alerts.

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2

Ransomware - Prevented - Elastic Defend

Generates a detection alert each time an Elastic Defend alert for ransomware are received. Enabling this rule allows you to immediately begin investigating your Endpoint ransomware alerts. This rule identifies Elastic Defend ransomware preventions only, and does not include detection only alerts.

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2

Potential Persistence via File Modification

This rule leverages the File Integrity Monitoring (FIM) integration to detect file modifications of files that are commonly used for persistence on Linux systems. The rule detects modifications to files that are commonly used for cron jobs, systemd services, message-of-the-day (MOTD), SSH configurations, shell configurations, runtime control, init daemon, passwd/sudoers/shadow files, Systemd udevd, and XDG/KDE autostart entries. To leverage this rule, the paths specified in the query need to be added to the FIM policy in the Elastic Security app.

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7

GCP Pub/Sub Subscription Creation

Identifies the creation of a subscription in Google Cloud Platform (GCP). In GCP, the publisher-subscriber relationship (Pub/Sub) is an asynchronous messaging service that decouples event-producing and event-processing services. A subscription is a named resource representing the stream of messages to be delivered to the subscribing application.

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106

GCP Pub/Sub Topic Creation

Identifies the creation of a topic in Google Cloud Platform (GCP). In GCP, the publisher-subscriber relationship (Pub/Sub) is an asynchronous messaging service that decouples event-producing and event-processing services. A topic is used to forward messages from publishers to subscribers.

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106

GCP Firewall Rule Creation

Identifies when a firewall rule is created in Google Cloud Platform (GCP) for Virtual Private Cloud (VPC) or App Engine. These firewall rules can be configured to allow or deny connections to or from virtual machine (VM) instances or specific applications. An adversary may create a new firewall rule in order to weaken their target’s security controls and allow more permissive ingress or egress traffic flows for their benefit.

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105

GCP Firewall Rule Deletion

Identifies when a firewall rule is deleted in Google Cloud Platform (GCP) for Virtual Private Cloud (VPC) or App Engine. These firewall rules can be configured to allow or deny connections to or from virtual machine (VM) instances or specific applications. An adversary may delete a firewall rule in order to weaken their target’s security controls.

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105

GCP Firewall Rule Modification

Identifies when a firewall rule is modified in Google Cloud Platform (GCP) for Virtual Private Cloud (VPC) or App Engine. These firewall rules can be modified to allow or deny connections to or from virtual machine (VM) instances or specific applications. An adversary may modify an existing firewall rule in order to weaken their target’s security controls and allow more permissive ingress or egress traffic flows for their benefit.

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105

GCP Logging Bucket Deletion

Identifies a Logging bucket deletion in Google Cloud Platform (GCP). Log buckets are containers that store and organize log data. A deleted bucket stays in a pending state for 7 days, and Logging continues to route logs to the bucket during that time. To stop routing logs to a deleted bucket, you can delete the log sinks that have the bucket as their destination, or modify the filter for the sinks to stop it from routing logs to the deleted bucket. An adversary may delete a log bucket to evade detection.

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105

GCP Logging Sink Deletion

Identifies a Logging sink deletion in Google Cloud Platform (GCP). Every time a log entry arrives, Logging compares the log entry to the sinks in that resource. Each sink whose filter matches the log entry writes a copy of the log entry to the sink’s export destination. An adversary may delete a Logging sink to evade detection.

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105

GCP Pub/Sub Subscription Deletion

Identifies the deletion of a subscription in Google Cloud Platform (GCP). In GCP, the publisher-subscriber relationship (Pub/Sub) is an asynchronous messaging service that decouples event-producing and event-processing services. A subscription is a named resource representing the stream of messages to be delivered to the subscribing application.

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105

GCP Pub/Sub Topic Deletion

Identifies the deletion of a topic in Google Cloud Platform (GCP). In GCP, the publisher-subscriber relationship (Pub/Sub) is an asynchronous messaging service that decouples event-producing and event-processing services. A publisher application creates and sends messages to a topic. Deleting a topic can interrupt message flow in the Pub/Sub pipeline.

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105

GCP Storage Bucket Configuration Modification

Identifies when the configuration is modified for a storage bucket in Google Cloud Platform (GCP). An adversary may modify the configuration of a storage bucket in order to weaken the security controls of their target’s environment.

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105

GCP Storage Bucket Permissions Modification

Identifies when the Identity and Access Management (IAM) permissions are modified for a Google Cloud Platform (GCP) storage bucket. An adversary may modify the permissions on a storage bucket to weaken their target’s security controls or an administrator may inadvertently modify the permissions, which could lead to data exposure or loss.

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105

GCP Virtual Private Cloud Network Deletion

Identifies when a Virtual Private Cloud (VPC) network is deleted in Google Cloud Platform (GCP). A VPC network is a virtual version of a physical network within a GCP project. Each VPC network has its own subnets, routes, and firewall, as well as other elements. An adversary may delete a VPC network in order to disrupt their target’s network and business operations.

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105

GCP Virtual Private Cloud Route Creation

Identifies when a virtual private cloud (VPC) route is created in Google Cloud Platform (GCP). Google Cloud routes define the paths that network traffic takes from a virtual machine (VM) instance to other destinations. These destinations can be inside a Google VPC network or outside it. An adversary may create a route in order to impact the flow of network traffic in their target’s cloud environment.

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105

GCP Virtual Private Cloud Route Deletion

Identifies when a Virtual Private Cloud (VPC) route is deleted in Google Cloud Platform (GCP). Google Cloud routes define the paths that network traffic takes from a virtual machine (VM) instance to other destinations. These destinations can be inside a Google VPC network or outside it. An adversary may delete a route in order to impact the flow of network traffic in their target’s cloud environment.

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105

GCP Logging Sink Modification

Identifies a modification to a Logging sink in Google Cloud Platform (GCP). Logging compares the log entry to the sinks in that resource. Each sink whose filter matches the log entry writes a copy of the log entry to the sink’s export destination. An adversary may update a Logging sink to exfiltrate logs to a different export destination.

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105

GCP IAM Role Deletion

Identifies an Identity and Access Management (IAM) role deletion in Google Cloud Platform (GCP). A role contains a set of permissions that allows you to perform specific actions on Google Cloud resources. An adversary may delete an IAM role to inhibit access to accounts utilized by legitimate users.

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105

GCP Service Account Deletion

Identifies when a service account is deleted in Google Cloud Platform (GCP). A service account is a special type of account used by an application or a virtual machine (VM) instance, not a person. Applications use service accounts to make authorized API calls, authorized as either the service account itself, or as G Suite or Cloud Identity users through domain-wide delegation. An adversary may delete a service account in order to disrupt their target’s business operations.

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105

GCP Service Account Disabled

Identifies when a service account is disabled in Google Cloud Platform (GCP). A service account is a special type of account used by an application or a virtual machine (VM) instance, not a person. Applications use service accounts to make authorized API calls, authorized as either the service account itself, or as G Suite or Cloud Identity users through domain-wide delegation. An adversary may disable a service account in order to disrupt to disrupt their target’s business operations.

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105

GCP Storage Bucket Deletion

Identifies when a Google Cloud Platform (GCP) storage bucket is deleted. An adversary may delete a storage bucket in order to disrupt their target’s business operations.

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105

GCP IAM Custom Role Creation

Identifies an Identity and Access Management (IAM) custom role creation in Google Cloud Platform (GCP). Custom roles are user-defined, and allow for the bundling of one or more supported permissions to meet specific needs. Custom roles will not be updated automatically and could lead to privilege creep if not carefully scrutinized.

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105

GCP IAM Service Account Key Deletion

Identifies the deletion of an Identity and Access Management (IAM) service account key in Google Cloud Platform (GCP). Each service account is associated with two sets of public/private RSA key pairs that are used to authenticate. If a key is deleted, the application will no longer be able to access Google Cloud resources using that key. A security best practice is to rotate your service account keys regularly.

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105

GCP Service Account Key Creation

Identifies when a new key is created for a service account in Google Cloud Platform (GCP). A service account is a special type of account used by an application or a virtual machine (VM) instance, not a person. Applications use service accounts to make authorized API calls, authorized as either the service account itself, or as G Suite or Cloud Identity users through domain-wide delegation. If private keys are not tracked and managed properly, they can present a security risk. An adversary may create a new key for a service account in order to attempt to abuse the permissions assigned to that account and evade detection.

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105

GCP Service Account Creation

Identifies when a new service account is created in Google Cloud Platform (GCP). A service account is a special type of account used by an application or a virtual machine (VM) instance, not a person. Applications use service accounts to make authorized API calls, authorized as either the service account itself, or as G Suite or Cloud Identity users through domain-wide delegation. If service accounts are not tracked and managed properly, they can present a security risk. An adversary may create a new service account to use during their operations in order to avoid using a standard user account and attempt to evade detection.

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105

GitHub Protected Branch Settings Changed

This rule detects setting modifications for protected branches of a GitHub repository. Branch protection rules can be used to enforce certain workflows or requirements before a contributor can push changes to a branch in your repository. Changes to these protected branch settings should be investigated and verified as legitimate activity. Unauthorized changes could be used to lower your organization’s security posture and leave you exposed for future attacks.

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207

GitHub App Deleted

Detects the deletion of a GitHub app either from a repo or an organization.

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205

High Number of Cloned GitHub Repos From PAT

Detects a high number of unique private repo clone events originating from a single personal access token within a short time period.

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205

GitHub UEBA - Multiple Alerts from a GitHub Account

This rule is part of the "GitHub UEBA - Unusual Activity from Account Pack", and leverages alert data to determine when multiple alerts are executed by the same user in a timespan of one hour. Analysts can use this to prioritize triage and response, as these alerts are a higher indicator of compromised user accounts or PATs.

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102

New GitHub App Installed

This rule detects when a new GitHub App has been installed in your organization account. GitHub Apps extend GitHub’s functionality both within and outside of GitHub. When an app is installed it is granted permissions to read or modify your repository and organization data. Only trusted apps should be installed and any newly installed apps should be investigated to verify their legitimacy. Unauthorized app installation could lower your organization’s security posture and leave you exposed for future attacks.

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205

GitHub Repository Deleted

This rule detects when a GitHub repository is deleted within your organization. Repositories are a critical component used within an organization to manage work, collaborate with others and release products to the public. Any delete action against a repository should be investigated to determine it’s validity. Unauthorized deletion of organization repositories could cause irreversible loss of intellectual property and indicate compromise within your organization.

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204

New GitHub Owner Added

Detects when a new member is added to a GitHub organization as an owner. This role provides admin level privileges. Any new owner roles should be investigated to determine it’s validity. Unauthorized owner roles could indicate compromise within your organization and provide unlimited access to data and settings.

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207

GitHub Owner Role Granted To User

This rule detects when a member is granted the organization owner role of a GitHub organization. This role provides admin level privileges. Any new owner role should be investigated to determine its validity. Unauthorized owner roles could indicate compromise within your organization and provide unlimited access to data and settings.

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207

Google Workspace Drive Encryption Key(s) Accessed from Anonymous User

Detects when an external (anonymous) user has viewed, copied or downloaded an encryption key file from a Google Workspace drive. Adversaries may gain access to encryption keys stored in private drives from rogue access links that do not have an expiration. Access to encryption keys may allow adversaries to access sensitive data or authenticate on behalf of users.

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5

First Time Seen Google Workspace OAuth Login from Third-Party Application

Detects the first time a third-party application logs in and authenticated with OAuth. OAuth is used to grant permissions to specific resources and services in Google Workspace. Compromised credentials or service accounts could allow an adversary to authenticate to Google Workspace as a valid user and inherit their privileges.

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6

Forwarded Google Workspace Security Alert

Identifies the occurrence of a security alert from the Google Workspace alerts center. Google Workspace’s security alert center provides an overview of actionable alerts that may be affecting an organization’s domain. An alert is a warning of a potential security issue that Google has detected.

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4

Google Workspace Suspended User Account Renewed

Detects when a previously suspended user’s account is renewed in Google Workspace. An adversary may renew a suspended user account to maintain access to the Google Workspace organization with a valid account.

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4

Kubernetes Denied Service Account Request

This rule detects when a service account makes an unauthorized request for resources from the API server. Service accounts follow a very predictable pattern of behavior. A service account should never send an unauthorized request to the API server. This behavior is likely an indicator of compromise or of a problem within the cluster. An adversary may have gained access to credentials/tokens and this could be an attempt to access or create resources to facilitate further movement or execution within the cluster.

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6

Kubernetes Suspicious Self-Subject Review

This rule detects when a service account or node attempts to enumerate their own permissions via the selfsubjectaccessreview or selfsubjectrulesreview APIs. This is highly unusual behavior for non-human identities like service accounts and nodes. An adversary may have gained access to credentials/tokens and this could be an attempt to determine what privileges they have to facilitate further movement or execution within the cluster.

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204

Kubernetes User Exec into Pod

This rule detects a user attempt to establish a shell session into a pod using the exec command. Using the exec command in a pod allows a user to establish a temporary shell session and execute any process/commands in the pod. An adversary may call bash to gain a persistent interactive shell which will allow access to any data the pod has permissions to, including secrets.

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204

Kubernetes Anonymous Request Authorized

This rule detects when an unauthenticated user request is authorized within the cluster. Attackers may attempt to use anonymous accounts to gain initial access to the cluster or to avoid attribution of their activities within the cluster. This rule excludes the /healthz, /livez and /readyz endpoints which are commonly accessed anonymously.

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7

Kubernetes Exposed Service Created With Type NodePort

This rule detects an attempt to create or modify a service as type NodePort. The NodePort service allows a user to externally expose a set of labeled pods to the internet. This creates an open port on every worker node in the cluster that has a pod for that service. When external traffic is received on that open port, it directs it to the specific pod through the service representing it. A malicious user can configure a service as type Nodeport in order to intercept traffic from other pods or nodes, bypassing firewalls and other network security measures configured for load balancers within a cluster. This creates a direct method of communication between the cluster and the outside world, which could be used for more malicious behavior and certainly widens the attack surface of your cluster.

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204

Kubernetes Container Created with Excessive Linux Capabilities

This rule detects a container deployed with one or more dangerously permissive Linux capabilities. An attacker with the ability to deploy a container with added capabilities could use this for further execution, lateral movement, or privilege escalation within a cluster. The capabilities detected in this rule have been used in container escapes to the host machine.

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6

Kubernetes Pod Created With HostIPC

This rule detects an attempt to create or modify a pod using the host IPC namespace. This gives access to data used by any pod that also use the hosts IPC namespace. If any process on the host or any processes in a pod uses the hosts inter-process communication mechanisms (shared memory, semaphore arrays, message queues, etc.), an attacker can read/write to those same mechanisms. They may look for files in /dev/shm or use ipcs to check for any IPC facilities being used.

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205

Kubernetes Pod Created With HostNetwork

This rules detects an attempt to create or modify a pod attached to the host network. HostNetwork allows a pod to use the node network namespace. Doing so gives the pod access to any service running on localhost of the host. An attacker could use this access to snoop on network activity of other pods on the same node or bypass restrictive network policies applied to its given namespace.

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205

Kubernetes Pod Created With HostPID

This rule detects an attempt to create or modify a pod attached to the host PID namespace. HostPID allows a pod to access all the processes running on the host and could allow an attacker to take malicious action. When paired with ptrace this can be used to escalate privileges outside of the container. When paired with a privileged container, the pod can see all of the processes on the host. An attacker can enter the init system (PID 1) on the host. From there, they could execute a shell and continue to escalate privileges to root.

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205

Kubernetes Pod created with a Sensitive hostPath Volume

This rule detects when a pod is created with a sensitive volume of type hostPath. A hostPath volume type mounts a sensitive file or folder from the node to the container. If the container gets compromised, the attacker can use this mount for gaining access to the node. There are many ways a container with unrestricted access to the host filesystem can escalate privileges, including reading data from other containers, and accessing tokens of more privileged pods.

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205

Kubernetes Privileged Pod Created

This rule detects when a user creates a pod/container running in privileged mode. A highly privileged container has access to the node’s resources and breaks the isolation between containers. If compromised, an attacker can use the privileged container to gain access to the underlying host. Gaining access to the host may provide the adversary with the opportunity to achieve follow-on objectives, such as establishing persistence, moving laterally within the environment, or setting up a command and control channel on the host.

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205

Kubernetes Suspicious Assignment of Controller Service Account

This rule detects a request to attach a controller service account to an existing or new pod running in the kube-system namespace. By default, controllers running as part of the API Server utilize admin-equivalent service accounts hosted in the kube-system namespace. Controller service accounts aren’t normally assigned to running pods and could indicate adversary behavior within the cluster. An attacker that can create or modify pods or pod controllers in the kube-system namespace, can assign one of these admin-equivalent service accounts to a pod and abuse their powerful token to escalate privileges and gain complete cluster control.

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7

High Mean of Process Arguments in an RDP Session

A machine learning job has detected unusually high number of process arguments in an RDP session. Executing sophisticated attacks such as lateral movement can involve the use of complex commands, obfuscation mechanisms, redirection and piping, which in turn increases the number of arguments in a command.

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5

High Mean of RDP Session Duration

A machine learning job has detected unusually high mean of RDP session duration. Long RDP sessions can be used to evade detection mechanisms via session persistence, and might be used to perform tasks such as lateral movement, that might require uninterrupted access to a compromised machine.

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5

Unusual Remote File Size

A machine learning job has detected an unusually high file size shared by a remote host indicating potential lateral movement activity. One of the primary goals of attackers after gaining access to a network is to locate and exfiltrate valuable information. Instead of multiple small transfers that can raise alarms, attackers might choose to bundle data into a single large file transfer.

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5

High Variance in RDP Session Duration

A machine learning job has detected unusually high variance of RDP session duration. Long RDP sessions can be used to evade detection mechanisms via session persistence, and might be used to perform tasks such as lateral movement, that might require uninterrupted access to a compromised machine.

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5

Unusual Remote File Directory

An anomaly detection job has detected a remote file transfer on an unusual directory indicating a potential lateral movement activity on the host. Many Security solutions monitor well-known directories for suspicious activities, so attackers might use less common directories to bypass monitoring.

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5

Unusual Remote File Extension

An anomaly detection job has detected a remote file transfer with a rare extension, which could indicate potential lateral movement activity on the host.

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5

Spike in Number of Connections Made from a Source IP

A machine learning job has detected a high count of destination IPs establishing an RDP connection with a single source IP. Once an attacker has gained access to one system, they might attempt to access more in the network in search of valuable assets, data, or further access points.

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5

Spike in Number of Connections Made to a Destination IP