Unusual Process Spawned by a User
editUnusual Process Spawned by a User
editA machine learning job has detected a suspicious Windows process. This process has been classified as malicious in two ways. It was predicted to be malicious by the ProblemChild supervised ML model, and it was found to be suspicious given that its user context is unusual and does not commonly manifest malicious activity,by an unsupervised ML model. Such a process may be an instance of suspicious or malicious activity, possibly involving LOLbins, that may be resistant to detection using conventional search rules.
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:
- Domain: Endpoint
- OS: Windows
- Use Case: Living off the Land Attack Detection
- Rule Type: ML
- Rule Type: Machine Learning
- Tactic: Defense Evasion
Version: 5
Rule authors:
- Elastic
Rule license: Elastic License v2
Setup
editSetup
The rule requires the Living off the Land (LotL) Attack Detection integration assets to be installed, as well as Windows process events collected by integrations such as Elastic Defend or Winlogbeat.
LotL Attack Detection Setup
The LotL Attack Detection integration detects living-off-the-land activity in Windows process events.
Prerequisite Requirements:
- Fleet is required for LotL Attack Detection.
- To configure Fleet Server refer to the documentation.
- Windows process events collected by the Elastic Defend integration or Winlogbeat(https://www.elastic.co/guide/en/beats/winlogbeat/current/_winlogbeat_overview.html).
- To install Elastic Defend, refer to the documentation.
- To set up and run Winlogbeat, follow this guide.
The following steps should be executed to install assets associated with the LotL Attack Detection integration:
- Go to the Kibana homepage. Under Management, click Integrations.
- In the query bar, search for Living off the Land Attack 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.
Framework: MITRE ATT&CKTM
-
Tactic:
- Name: Defense Evasion
- ID: TA0005
- Reference URL: https://attack.mitre.org/tactics/TA0005/
-
Technique:
- Name: Masquerading
- ID: T1036
- Reference URL: https://attack.mitre.org/techniques/T1036/