IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

« Machine Learning Detected DGA activity using a known SUNBURST DNS domain Machine Learning Detected a DNS Request With a High DGA Probability Score »

› ›

Potential DGA Activity

edit

Potential DGA Activity

edit

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.

Rule type: machine_learning

Rule indices: None

Severity: low

Risk score: 21

Runs every: 15m

Searches indices from: now-45m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

Use Case: Domain Generation Algorithm Detection
Rule Type: ML
Rule Type: Machine Learning
Tactic: Command and Control

Version: 5

Rule authors:

Elastic

Rule license: Elastic License v2

Setup

edit

Setup

The rule requires the Domain Generation Algorithm (DGA) Detection integration assets to be installed, as well as DNS events collected by integrations such as Elastic Defend, Network Packet Capture, or Packetbeat.

DGA Detection Setup

The DGA Detection integration consists of an ML-based framework to detect DGA activity in DNS events.

Prerequisite Requirements:

Fleet is required for DGA Detection.
To configure Fleet Server refer to the documentation.
DNS events collected by the Elastic Defend, Network Packet Capture integration, or Packetbeat.
To install Elastic Defend, refer to the documentation.
To add the Network Packet Capture integration to an Elastic Agent policy, refer to this guide.
To set up and run Packetbeat, follow this guide.

The following steps should be executed to install assets associated with the DGA Detection integration:

Go to the Kibana homepage. Under Management, click Integrations.
In the query bar, search for Domain Generation Algorithm Detection and select the integration to see more details about it.
Follow the instructions under the Installation section.
For this rule to work, complete the instructions through Add preconfigured anomaly detection jobs.

Anomaly Detection Setup

Before you can enable this rule, you’ll need to enable the corresponding Anomaly Detection job. - Go to the Kibana homepage. Under Analytics, click Machine Learning. - Under Anomaly Detection, click Jobs, and then click "Create job". Select the Data View containing your enriched DNS events. For example, this would be logs-endpoint.events.* if you used Elastic Defend to collect events, or logs-network_traffic.* if you used Network Packet Capture. - If the selected Data View contains events that match the query in this configuration file, you will see a card for DGA under "Use preconfigured jobs". - Keep the default settings and click "Create jobs" to start the anomaly detection job and datafeed.

Framework: MITRE ATT&CK^TM

Tactic:
- Name: Command and Control
- ID: TA0011
- Reference URL: https://attack.mitre.org/tactics/TA0011/
Technique:
- Name: Dynamic Resolution
- ID: T1568
- Reference URL: https://attack.mitre.org/techniques/T1568/

« Machine Learning Detected DGA activity using a known SUNBURST DNS domain Machine Learning Detected a DNS Request With a High DGA Probability Score »