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Machine Learning Detected DGA activity using a known SUNBURST DNS domain

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Machine Learning Detected DGA activity using a known SUNBURST DNS domain

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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.

Rule type: query

Rule indices:

logs-endpoint.events.*
logs-network_traffic.*

Severity: critical

Risk score: 99

Runs every: 5m

Searches indices from: now-10m (Date Math format, see also Additional look-back time)

Maximum alerts per execution: 100

References:

Tags:

Domain: Network
Domain: Endpoint
Data Source: Elastic Defend
Use Case: Domain Generation Algorithm Detection
Rule Type: ML
Rule Type: Machine Learning
Tactic: Command and Control

Version: 1

Rule authors:

Elastic

Rule license: Elastic License v2

Investigation guide

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Rule query

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ml_is_dga.malicious_prediction:1 and dns.question.registered_domain:avsvmcloud.com

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/
Sub-technique:
- Name: Domain Generation Algorithms
- ID: T1568.002
- Reference URL: https://attack.mitre.org/techniques/T1568/002/

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