MITRE ATT&CK T1574.006: Dynamic Linker Hijacking
When to use this skill
Use this skill when the task involves T1574.006, Dynamic Linker Hijacking, 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: T1574.006
- Technique name: Dynamic Linker Hijacking
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1574/006
- Tactics: execution, stealth
- Platforms: Linux, macOS
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified
ATT&CK description
Adversaries may execute their own malicious payloads by hijacking environment variables the dynamic linker uses to load shared libraries. During the execution preparation phase of a program, the dynamic linker loads specified absolute paths of shared libraries from various environment variables and files, such as LD_PRELOAD on Linux or DYLD_INSERT_LIBRARIES on macOS.(Citation: TheEvilBit DYLD_INSERT_LIBRARIES)(Citation: Timac DYLD_INSERT_LIBRARIES)(Citation: Gabilondo DYLD_INSERT_LIBRARIES Catalina Bypass) Libraries specified in environment variables are loaded first, taking precedence over system libraries with the same function name.(Citation: Man LD.SO)(Citation: TLDP Shared Libraries)(Citation: Apple Doco Archive Dynamic Libraries) Each platform's linker uses an extensive list of environment variables at different points in execution. These variables are often used by developers to debug binaries without needing to recompile, deconflict mapped symbols, and implement custom functions in the original library.(Citation: Baeldung LD_PRELOAD)
Hijacking dynamic linker variables may grant access to the victim process's memory, system/network resources, and possibly elevated privileges. On Linux, adversaries may set LD_PRELOAD to point to malicious libraries that match the name of legitimate libraries which are requested by a victim program, causing the operating system to load the adversary's malicious code upon execution of the victim program. For example, adversaries have used LD_PRELOAD to inject a malicious library into every descendant process of the sshd daemon, resulting in execution under a legitimate process. When the executing sub-process calls the execve function, for example, the malicious library’s execve function is executed rather than the system function execve contained in the system library on disk. This allows adversaries to Hide Artifacts from detection, as hooking system functions such as execve and readdir enables malware to scrub its own artifacts from the results of commands such as ls, ldd, iptables, and dmesg.(Citation: ESET Ebury Oct 2017)(Citation: Intezer Symbiote 2022)(Citation: Elastic Security Labs Pumakit 2024)
Hijacking dynamic linker variables may grant access to the victim process's memory, system/network resources, and possibly elevated privileges.
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
- Execution Prevention
- Operating System Configuration
Known threat context
Use these examples only as contextual leads, not as proof that an observed event is this technique:
- APT41 (intrusion-set)
- Aquatic Panda (intrusion-set)
- COATHANGER (malware)
- Ebury (malware)
- HiddenWasp (malware)
- Hildegard (malware)
- MEDUSA (malware)
- Rocke (intrusion-set)
- SPAWNCHIMERA (malware)
- XCSSET (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-t1574-006-dynamic-linker-hijacking3description: Analyze MITRE ATT&CK T1574.006 Dynamic Linker Hijacking in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1574.006, Dynamic Linker Hijacking, or enterprise ATT&CK. Adversaries may execute their own malicious payloads by hijacking environment variables the dynamic linker uses to load shared libraries.4license: MITRE ATT&CK Terms of Use apply to ATT&CK-derived content. See h5---67# MITRE ATT&CK T1574.006: Dynamic Linker Hijacking89## When to use this skill1011Use this skill when the task involves T1574.006, Dynamic Linker Hijacking, 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: T1574.00617- Technique name: Dynamic Linker Hijacking18- Type: sub-technique19- ATT&CK URL: https://attack.mitre.org/techniques/T1574/00620- Tactics: execution, stealth21- Platforms: Linux, macOS22- Required permissions: Not specified23- Effective permissions: Not specified24- Defenses bypassed: Not specified2526## ATT&CK description2728Adversaries may execute their own malicious payloads by hijacking environment variables the dynamic linker uses to load shared libraries. During the execution preparation phase of a program, the dynamic linker loads specified absolute paths of shared libraries from various environment variables and files, such as <code>LD_PRELOAD</code> on Linux or <code>DYLD_INSERT_LIBRARIES</code> on macOS.(Citation: TheEvilBit DYLD_INSERT_LIBRARIES)(Citation: Timac DYLD_INSERT_LIBRARIES)(Citation: Gabilondo DYLD_INSERT_LIBRARIES Catalina Bypass) Libraries specified in environment variables are loaded first, taking precedence over system libraries with the same function name.(Citation: Man LD.SO)(Citation: TLDP Shared Libraries)(Citation: Apple Doco Archive Dynamic Libraries) Each platform's linker uses an extensive list of environment variables at different points in execution. These variables are often used by developers to debug binaries without needing to recompile, deconflict mapped symbols, and implement custom functions in the original library.(Citation: Baeldung LD_PRELOAD)2930Hijacking dynamic linker variables may grant access to the victim process's memory, system/network resources, and possibly elevated privileges. On Linux, adversaries may set <code>LD_PRELOAD</code> to point to malicious libraries that match the name of legitimate libraries which are requested by a victim program, causing the operating system to load the adversary's malicious code upon execution of the victim program. For example, adversaries have used `LD_PRELOAD` to inject a malicious library into every descendant process of the `sshd` daemon, resulting in execution under a legitimate process. When the executing sub-process calls the `execve` function, for example, the malicious library’s `execve` function is executed rather than the system function `execve` contained in the system library on disk. This allows adversaries to [Hide Artifacts](https://attack.mitre.org/techniques/T1564) from detection, as hooking system functions such as `execve` and `readdir` enables malware to scrub its own artifacts from the results of commands such as `ls`, `ldd`, `iptables`, and `dmesg`.(Citation: ESET Ebury Oct 2017)(Citation: Intezer Symbiote 2022)(Citation: Elastic Security Labs Pumakit 2024)3132Hijacking dynamic linker variables may grant access to the victim process's memory, system/network resources, and possibly elevated privileges.3334## Agent workflow35361. 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.372. 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.383. 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.394. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.405. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.416. 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.4243## Bundled resources4445- `references/technique-profile.json`: machine-readable ATT&CK metadata for this technique.46- `references/detection-and-mitigation.md`: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.47- `references/known-threat-context.md`: ATT&CK relationship context with attribution cautions.48- `templates/detection-brief.md`: detection engineering brief template.49- `templates/hunt-plan.md`: threat hunt plan template.50- `templates/incident-response-note.md`: incident response note template.51- `templates/coverage-assessment.md`: ATT&CK coverage assessment template.52- `scripts/render_brief.py`: local helper that renders a Markdown defensive brief from `technique-profile.json`.53- `assets/output-schema.json`: JSON schema for structured technique analysis outputs.5455To generate a quick brief, run `python scripts/render_brief.py --output brief.md` from inside this skill directory, or adapt the templates directly.5657## Detection guidance5859No ATT&CK detection guidance was present in the source STIX object.6061## Useful telemetry and data sources6263- Not specified in the STIX object.6465## Mitigations to consider6667- Execution Prevention68- Operating System Configuration6970## Known threat context7172Use these examples only as contextual leads, not as proof that an observed event is this technique:7374- APT41 (intrusion-set)75- Aquatic Panda (intrusion-set)76- COATHANGER (malware)77- Ebury (malware)78- HiddenWasp (malware)79- Hildegard (malware)80- MEDUSA (malware)81- Rocke (intrusion-set)82- SPAWNCHIMERA (malware)83- XCSSET (malware)8485## Recommended output pattern8687When responding with this skill, structure the answer as:8889- Assessment: whether the evidence supports this ATT&CK mapping and why.90- Evidence: specific indicators, logs, behaviors, and assumptions.91- Detection: telemetry sources, analytic logic, and tuning considerations.92- Response: containment, eradication, recovery, and validation actions.93- Coverage gaps: missing logs, sensors, controls, or environmental details.94- References: include the ATT&CK URL and any user-provided evidence references.