Attack Mob T1414 Clipboard Data

MITRE ATT&CK T1414: Clipboard Data

When to use this skill

Use this skill when the task involves T1414, Clipboard Data, 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: T1414
• Technique name: Clipboard Data
• Type: technique
• ATT&CK URL: https://attack.mitre.org/techniques/T1414
• Tactics: collection, credential-access
• Platforms: Android, iOS
• Required permissions: Not specified
• Effective permissions: Not specified
• Defenses bypassed: Not specified

ATT&CK description

Adversaries may abuse clipboard manager APIs to obtain sensitive information copied to the device clipboard. For example, passwords being copied and pasted from a password manager application could be captured by a malicious application installed on the device.(Citation: Fahl-Clipboard)

On Android, applications can use the ClipboardManager.OnPrimaryClipChangedListener() API to register as a listener and monitor the clipboard for changes. However, starting in Android 10, this can only be used if the application is in the foreground, or is set as the device’s default input method editor (IME).(Citation: Github Capture Clipboard 2019)(Citation: Android 10 Privacy Changes)

On iOS, this can be accomplished by accessing the UIPasteboard.general.string field. However, starting in iOS 14, upon accessing the clipboard, the user will be shown a system notification if the accessed text originated in a different application. For example, if the user copies the text of an iMessage from the Messages application, the notification will read “application_name has pasted from Messages” when the text was pasted in a different application.(Citation: UIPPasteboard)

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

Known threat context

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

• BOULDSPY (malware)
• GolfSpy (malware)
• RCSAndroid (malware)
• RatMilad (malware)
• XcodeGhost (malware)

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.