# Attack Ent T1027 003 Steganography

> Analyze MITRE ATT&CK T1027.003 Steganography in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1027.003, Steganography, or enterprise ATT&CK. Adversaries may use steganography techniques in order to prevent the detection of hidden information.

- Skill: `santosomar/attack-ent-t1027-003-steganography` (Agent Skill, multi-file: 11 files)
- Install (CLI): `npx skillmds@latest add santosomar/attack-ent-t1027-003-steganography`
- Raw SKILL.md: https://api.skillmd.com/api/skills/santosomar/attack-ent-t1027-003-steganography/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-ent-t1027-003-steganography

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# MITRE ATT&CK T1027.003: Steganography

## When to use this skill

Use this skill when the task involves T1027.003, Steganography, 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: T1027.003
- Technique name: Steganography
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1027/003
- Tactics: stealth
- Platforms: Linux, macOS, Windows
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified

## ATT&CK description

Adversaries may use steganography techniques in order to prevent the detection of hidden information. Steganographic techniques can be used to hide data in digital media such as images, audio tracks, video clips, or text files.

[Duqu](https://attack.mitre.org/software/S0038) was an early example of malware that used steganography. It encrypted the gathered information from a victim's system and hid it within an image before exfiltrating the image to a C2 server.(Citation: Wikipedia Duqu) 

By the end of 2017, a threat group used <code>Invoke-PSImage</code> to hide [PowerShell](https://attack.mitre.org/techniques/T1059/001) commands in an image file (.png) and execute the code on a victim's system. In this particular case the [PowerShell](https://attack.mitre.org/techniques/T1059/001) code downloaded another obfuscated script to gather intelligence from the victim's machine and communicate it back to the adversary.(Citation: McAfee Malicious Doc Targets Pyeongchang Olympics)

## 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

- No ATT&CK mitigation relationships were present in the source STIX bundle.

## Known threat context

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

- ABK (malware)
- APT-C-36 (intrusion-set)
- APT37 (intrusion-set)
- Andariel (intrusion-set)
- Avenger (malware)
- BBK (malware)
- BRONZE BUTLER (intrusion-set)
- Bandook (malware)
- Diavol (malware)
- Earth Lusca (intrusion-set)
- IcedID (malware)
- Invoke-PSImage (tool)
- Leviathan (intrusion-set)
- LiteDuke (malware)
- MuddyWater (intrusion-set)
- ObliqueRAT (malware)
- Okrum (malware)
- Operation Ghost (campaign)
- Operation Spalax (campaign)
- Pikabot (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.