# Attack Mob T1655 001 Match Legitimate Name Or Location

> Analyze MITRE ATT&CK T1655.001 Match Legitimate Name or Location in the mobile matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1655.001, Match Legitimate Name or Location, or mobile ATT&CK. Adversaries may match or approximate the name or location of legitimate files or resources when naming/placing them.

- Skill: `santosomar/attack-mob-t1655-001-match-legitimate-name-or-location` (Agent Skill, multi-file: 11 files)
- Install (CLI): `npx skillmds@latest add santosomar/attack-mob-t1655-001-match-legitimate-name-or-location`
- Raw SKILL.md: https://api.skillmd.com/api/skills/santosomar/attack-mob-t1655-001-match-legitimate-name-or-location/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MITRE ATT&CK Terms of Use apply to ATT&CK-derived content. See h
- Author: santosomar (https://skillmd.com/u/santosomar)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/santosomar/attack-mob-t1655-001-match-legitimate-name-or-location

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# MITRE ATT&CK T1655.001: Match Legitimate Name or Location

## When to use this skill

Use this skill when the task involves T1655.001, Match Legitimate Name or Location, 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 sub-technique.

## Technique context

- ATT&CK domain: mobile
- ATT&CK ID: T1655.001
- Technique name: Match Legitimate Name or Location
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1655/001
- Tactics: defense-evasion
- Platforms: Android, iOS
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified

## ATT&CK description

Adversaries may match or approximate the name or location of legitimate files or resources when naming/placing them. This is done for the sake of evading defenses and observation. This may be done by giving artifacts the name and icon of a legitimate, trusted application (i.e., Settings), or using a package name that matches legitimate, trusted applications (i.e., `com.google.android.gm`). 

Adversaries may also use the same icon of the file or application they are trying to mimic.

## 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 Guidance

## Known threat context

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

- APT-C-23 (intrusion-set)
- Agent Smith (malware)
- AndroRAT (malware)
- Android/AdDisplay.Ashas (malware)
- Android/SpyAgent (malware)
- AndroidOS/MalLocker.B (malware)
- Anubis (malware)
- Asacub (malware)
- BOULDSPY (malware)
- BRATA (malware)
- Bouncing Golf (intrusion-set)
- C0033 (campaign)
- CHEMISTGAMES (malware)
- CarbonSteal (malware)
- Cerberus (malware)
- Chameleon (malware)
- DCHSpy (malware)
- Dendroid (malware)
- DocSwap (malware)
- DoubleAgent (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.

## ATT&CK contributors

- Ford Qin, Trend Micro
- Liran Ravich, CardinalOps