MITRE ATT&CK T1560.002: Archive via Library
When to use this skill
Use this skill when the task involves T1560.002, Archive via Library, 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: T1560.002
- Technique name: Archive via Library
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1560/002
- Tactics: collection
- Platforms: Linux, macOS, Windows
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified
ATT&CK description
An adversary may compress or encrypt data that is collected prior to exfiltration using 3rd party libraries. Many libraries exist that can archive data, including Python rarfile (Citation: PyPI RAR), libzip (Citation: libzip), and zlib (Citation: Zlib Github). Most libraries include functionality to encrypt and/or compress data.
Some archival libraries are preinstalled on systems, such as bzip2 on macOS and Linux, and zip on Windows. Note that the libraries are different from the utilities. The libraries can be linked against when compiling, while the utilities require spawning a subshell, or a similar execution mechanism.
Agent workflow
- 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.
- 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.
- 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.
- Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.
- Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.
- 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:
- BADFLICK (malware)
- BBSRAT (malware)
- Cardinal RAT (malware)
- Denis (malware)
- Epic (malware)
- FoggyWeb (malware)
- FunnyDream (malware)
- InvisiMole (malware)
- Lazarus Group (intrusion-set)
- LunarWeb (malware)
- OSX_OCEANLOTUS.D (malware)
- SeaDuke (malware)
- TajMahal (malware)
- Threat Group-3390 (intrusion-set)
- ZLib (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.
1---2name: attack-ent-t1560-002-archive-via-library3description: Analyze MITRE ATT&CK T1560.002 Archive via Library in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1560.002, Archive via Library, or enterprise ATT&CK. An adversary may compress or encrypt data that is collected prior to exfiltration using 3rd party libraries.4license: MITRE ATT&CK Terms of Use apply to ATT&CK-derived content. See h5---67# MITRE ATT&CK T1560.002: Archive via Library89## When to use this skill1011Use this skill when the task involves T1560.002, Archive via Library, 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.1213## Technique context1415- ATT&CK domain: enterprise16- ATT&CK ID: T1560.00217- Technique name: Archive via Library18- Type: sub-technique19- ATT&CK URL: https://attack.mitre.org/techniques/T1560/00220- Tactics: collection21- Platforms: Linux, macOS, Windows22- Required permissions: Not specified23- Effective permissions: Not specified24- Defenses bypassed: Not specified2526## ATT&CK description2728An adversary may compress or encrypt data that is collected prior to exfiltration using 3rd party libraries. Many libraries exist that can archive data, including [Python](https://attack.mitre.org/techniques/T1059/006) rarfile (Citation: PyPI RAR), libzip (Citation: libzip), and zlib (Citation: Zlib Github). Most libraries include functionality to encrypt and/or compress data.2930Some archival libraries are preinstalled on systems, such as bzip2 on macOS and Linux, and zip on Windows. Note that the libraries are different from the utilities. The libraries can be linked against when compiling, while the utilities require spawning a subshell, or a similar execution mechanism.3132## Agent workflow33341. 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.352. 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.363. 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.374. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.385. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.396. 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.4041## Bundled resources4243- `references/technique-profile.json`: machine-readable ATT&CK metadata for this technique.44- `references/detection-and-mitigation.md`: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.45- `references/known-threat-context.md`: ATT&CK relationship context with attribution cautions.46- `templates/detection-brief.md`: detection engineering brief template.47- `templates/hunt-plan.md`: threat hunt plan template.48- `templates/incident-response-note.md`: incident response note template.49- `templates/coverage-assessment.md`: ATT&CK coverage assessment template.50- `scripts/render_brief.py`: local helper that renders a Markdown defensive brief from `technique-profile.json`.51- `assets/output-schema.json`: JSON schema for structured technique analysis outputs.5253To generate a quick brief, run `python scripts/render_brief.py --output brief.md` from inside this skill directory, or adapt the templates directly.5455## Detection guidance5657No ATT&CK detection guidance was present in the source STIX object.5859## Useful telemetry and data sources6061- Not specified in the STIX object.6263## Mitigations to consider6465- No ATT&CK mitigation relationships were present in the source STIX bundle.6667## Known threat context6869Use these examples only as contextual leads, not as proof that an observed event is this technique:7071- BADFLICK (malware)72- BBSRAT (malware)73- Cardinal RAT (malware)74- Denis (malware)75- Epic (malware)76- FoggyWeb (malware)77- FunnyDream (malware)78- InvisiMole (malware)79- Lazarus Group (intrusion-set)80- LunarWeb (malware)81- OSX_OCEANLOTUS.D (malware)82- SeaDuke (malware)83- TajMahal (malware)84- Threat Group-3390 (intrusion-set)85- ZLib (malware)8687## Recommended output pattern8889When responding with this skill, structure the answer as:9091- Assessment: whether the evidence supports this ATT&CK mapping and why.92- Evidence: specific indicators, logs, behaviors, and assumptions.93- Detection: telemetry sources, analytic logic, and tuning considerations.94- Response: containment, eradication, recovery, and validation actions.95- Coverage gaps: missing logs, sensors, controls, or environmental details.96- References: include the ATT&CK URL and any user-provided evidence references.