Attack Ent T1685 002 Disable Or Modify Cloud Log

MITRE ATT&CK T1685.002: Disable or Modify Cloud Log

When to use this skill

Use this skill when the task involves T1685.002, Disable or Modify Cloud Log, enterprise ATT&CK, TTP mapping, detection engineering, hunting, incident-response enrichment, control validation, or authorized adversary-emulation planning. Treat it as a defensive analysis aid: keep outputs focused on understanding, detecting, mitigating, and safely validating this ATT&CK sub-technique.

Technique context

• ATT&CK domain: enterprise
• ATT&CK ID: T1685.002
• Technique name: Disable or Modify Cloud Log
• Type: sub-technique
• ATT&CK URL: https://attack.mitre.org/techniques/T1685/002
• Tactics: defense-impairment
• Platforms: IaaS, SaaS, Identity Provider, Office Suite
• Required permissions: Not specified
• Effective permissions: Not specified
• Defenses bypassed: Not specified

ATT&CK description

An adversary may disable or modify cloud logging capabilities and integrations to limit what data is collected on their activities and avoid detection. Cloud environments allow for collection and analysis of audit and application logs that provide insight into what activities a user does within the environment. If an adversary has sufficient permissions, they can disable or modify logging to avoid detection of their activities.

For example, in AWS an adversary may disable CloudWatch/CloudTrail integrations prior to conducting further malicious activity. They may alternatively tamper with logging functionality, for example, by removing any associated SNS topics, disabling multi-region logging, or disabling settings that validate and/or encrypt log files.(Citation: AWS Cloud Trail)(Citation: Pacu Detection Disruption Module) In Office 365, an adversary may disable logging on mail collection activities for specific users by using the Set-MailboxAuditBypassAssociation cmdlet, by disabling M365 Advanced Auditing for the user, or by downgrading the user’s license from an Enterprise E5 to an Enterprise E3 license.(Citation: Dark Reading)

Agent workflow

1. Clarify scope: identify the system, asset class, log sources, cloud or endpoint platform, and whether the user wants triage, detection, coverage assessment, or safe emulation planning.
2. Load bundled resources as needed: use references/technique-profile.json for structured metadata, references/detection-and-mitigation.md for triage and telemetry guidance, references/known-threat-context.md for ATT&CK relationship context, and templates/ for repeatable outputs.
3. Map observations to ATT&CK: compare the user's evidence to the ATT&CK description, tactics, platforms, and known procedure patterns before asserting a match.
4. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.
5. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.
6. Stay safe: do not provide malware, credential theft, persistence, evasion, destructive automation, or unauthorized exploitation instructions. For adversary emulation, keep steps bounded to approved lab or control-validation contexts and omit operational abuse details.

Bundled resources

• references/technique-profile.json: machine-readable ATT&CK metadata for this technique.
• references/detection-and-mitigation.md: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.
• references/known-threat-context.md: ATT&CK relationship context with attribution cautions.
• templates/detection-brief.md: detection engineering brief template.
• templates/hunt-plan.md: threat hunt plan template.
• templates/incident-response-note.md: incident response note template.
• templates/coverage-assessment.md: ATT&CK coverage assessment template.
• scripts/render_brief.py: local helper that renders a Markdown defensive brief from technique-profile.json.
• assets/output-schema.json: JSON schema for structured technique analysis outputs.

To generate a quick brief, run python scripts/render_brief.py --output brief.md from inside this skill directory, or adapt the templates directly.

Detection guidance

No ATT&CK detection guidance was present in the source STIX object.

Useful telemetry and data sources

• Not specified in the STIX object.

Mitigations to consider

• User Account Management

Known threat context

Use these examples only as contextual leads, not as proof that an observed event is this technique:

• APT29 (intrusion-set)
• Pacu (tool)

Recommended output pattern

When responding with this skill, structure the answer as:

• Assessment: whether the evidence supports this ATT&CK mapping and why.
• Evidence: specific indicators, logs, behaviors, and assumptions.
• Detection: telemetry sources, analytic logic, and tuning considerations.
• Response: containment, eradication, recovery, and validation actions.
• Coverage gaps: missing logs, sensors, controls, or environmental details.
• References: include the ATT&CK URL and any user-provided evidence references.

ATT&CK contributors

• Alex Soler, AttackIQ
• Arun Seelagan, CISA
• Ibrahim Ali Khan
• Janantha Marasinghe
• Joe Gumke, U.S. Bank
• Matt Snyder, VMware
• Prasad Somasamudram, McAfee
• Sekhar Sarukkai, McAfee
• Syed Ummar Farooqh, McAfee