Attack Mob T1429 Audio Capture

MITRE ATT&CK T1429: Audio Capture

When to use this skill

Use this skill when the task involves T1429, Audio Capture, mobile 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 technique.

Technique context

• ATT&CK domain: mobile
• ATT&CK ID: T1429
• Technique name: Audio Capture
• Type: technique
• ATT&CK URL: https://attack.mitre.org/techniques/T1429
• Tactics: collection
• Platforms: Android, iOS
• Required permissions: Not specified
• Effective permissions: Not specified
• Defenses bypassed: Not specified

ATT&CK description

Adversaries may capture audio to collect information by leveraging standard operating system APIs of a mobile device. Examples of audio information adversaries may target include user conversations, surroundings, phone calls, or other sensitive information.

Android and iOS, by default, require that applications request device microphone access from the user.

On Android devices, applications must hold the RECORD_AUDIO permission to access the microphone or the CAPTURE_AUDIO_OUTPUT permission to access audio output. Because Android does not allow third-party applications to hold the CAPTURE_AUDIO_OUTPUT permission by default, only privileged applications, such as those distributed by Google or the device vendor, can access audio output.(Citation: Android Permissions) However, adversaries may be able to gain this access after successfully elevating their privileges. With the CAPTURE_AUDIO_OUTPUT permission, adversaries may pass the MediaRecorder.AudioSource.VOICE_CALL constant to MediaRecorder.setAudioOutput, allowing capture of both voice call uplink and downlink.(Citation: Manifest.permission)

On iOS devices, applications must include the NSMicrophoneUsageDescription key in their Info.plist file to access the microphone.(Citation: Requesting Auth-Media Capture)

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

• Use Recent OS Version
• User Guidance

Known threat context

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

• AbstractEmu (malware)
• AhRat (malware)
• AndroRAT (malware)
• Anubis (malware)
• BOULDSPY (malware)
• BusyGasper (malware)
• C0033 (campaign)
• CarbonSteal (malware)
• Corona Updates (malware)
• DCHSpy (malware)
• Dendroid (malware)
• Desert Scorpion (malware)
• DocSwap (malware)
• DoubleAgent (malware)
• DroidJack (malware)
• Escobar (malware)
• Exodus (malware)
• Fakecalls (malware)
• FinFisher (malware)
• FlexiSpy (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.