MITRE ATT&CK T1547.006: Kernel Modules and Extensions
When to use this skill
Use this skill when the task involves T1547.006, Kernel Modules and Extensions, 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: T1547.006
- Technique name: Kernel Modules and Extensions
- Type: sub-technique
- ATT&CK URL: https://attack.mitre.org/techniques/T1547/006
- Tactics: persistence, privilege-escalation
- Platforms: macOS, Linux
- Required permissions: Not specified
- Effective permissions: Not specified
- Defenses bypassed: Not specified
ATT&CK description
Adversaries may modify the kernel to automatically execute programs on system boot. Loadable Kernel Modules (LKMs) are pieces of code that can be loaded and unloaded into the kernel upon demand. They extend the functionality of the kernel without the need to reboot the system. For example, one type of module is the device driver, which allows the kernel to access hardware connected to the system.(Citation: Linux Kernel Programming)
When used maliciously, LKMs can be a type of kernel-mode Rootkit that run with the highest operating system privilege (Ring 0).(Citation: Linux Kernel Module Programming Guide) Common features of LKM based rootkits include: hiding itself, selective hiding of files, processes and network activity, as well as log tampering, providing authenticated backdoors, and enabling root access to non-privileged users.(Citation: iDefense Rootkit Overview)
Kernel extensions, also called kext, are used in macOS to load functionality onto a system similar to LKMs for Linux. Since the kernel is responsible for enforcing security and the kernel extensions run as apart of the kernel, kexts are not governed by macOS security policies. Kexts are loaded and unloaded through kextload and kextunload commands. Kexts need to be signed with a developer ID that is granted privileges by Apple allowing it to sign Kernel extensions. Developers without these privileges may still sign kexts but they will not load unless SIP is disabled. If SIP is enabled, the kext signature is verified before being added to the AuxKC.(Citation: System and kernel extensions in macOS)
Since macOS Catalina 10.15, kernel extensions have been deprecated in favor of System Extensions. However, kexts are still allowed as "Legacy System Extensions" since there is no System Extension for Kernel Programming Interfaces.(Citation: Apple Kernel Extension Deprecation)
Adversaries can use LKMs and kexts to conduct Persistence and/or Privilege Escalation on a system. Examples have been found in the wild, and there are some relevant open source projects as well.(Citation: Volatility Phalanx2)(Citation: CrowdStrike Linux Rootkit)(Citation: GitHub Reptile)(Citation: GitHub Diamorphine)(Citation: RSAC 2015 San Francisco Patrick Wardle)(Citation: Synack Secure Kernel Extension Broken)(Citation: Securelist Ventir)(Citation: Trend Micro Skidmap)
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
- Antivirus/Antimalware
- Execution Prevention
- Privileged Account Management
- User Account Management
Known threat context
Use these examples only as contextual leads, not as proof that an observed event is this technique:
- Drovorub (malware)
- Operation CuckooBees (campaign)
- REPTILE (malware)
- Skidmap (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
- Wayne Silva, F-Secure Countercept
- Anastasios Pingios
- Jeremy Galloway
- Red Canary
- Eric Kaiser @ideologysec
1---2name: attack-ent-t1547-006-kernel-modules-and-extensions3description: Analyze MITRE ATT&CK T1547.006 Kernel Modules and Extensions in the enterprise matrix. Use for TTP triage, detection engineering, hunting, defensive emulation planning, mitigations, incident response mapping, ATT&CK coverage, or questions mentioning T1547.006, Kernel Modules and Extensions, or enterprise ATT&CK. Adversaries may modify the kernel to automatically execute programs on system boot.4license: MITRE ATT&CK Terms of Use apply to ATT&CK-derived content. See h5---67# MITRE ATT&CK T1547.006: Kernel Modules and Extensions89## When to use this skill1011Use this skill when the task involves T1547.006, Kernel Modules and Extensions, 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: T1547.00617- Technique name: Kernel Modules and Extensions18- Type: sub-technique19- ATT&CK URL: https://attack.mitre.org/techniques/T1547/00620- Tactics: persistence, privilege-escalation21- Platforms: macOS, Linux22- Required permissions: Not specified23- Effective permissions: Not specified24- Defenses bypassed: Not specified2526## ATT&CK description2728Adversaries may modify the kernel to automatically execute programs on system boot. Loadable Kernel Modules (LKMs) are pieces of code that can be loaded and unloaded into the kernel upon demand. They extend the functionality of the kernel without the need to reboot the system. For example, one type of module is the device driver, which allows the kernel to access hardware connected to the system.(Citation: Linux Kernel Programming) 2930When used maliciously, LKMs can be a type of kernel-mode [Rootkit](https://attack.mitre.org/techniques/T1014) that run with the highest operating system privilege (Ring 0).(Citation: Linux Kernel Module Programming Guide) Common features of LKM based rootkits include: hiding itself, selective hiding of files, processes and network activity, as well as log tampering, providing authenticated backdoors, and enabling root access to non-privileged users.(Citation: iDefense Rootkit Overview)3132Kernel extensions, also called kext, are used in macOS to load functionality onto a system similar to LKMs for Linux. Since the kernel is responsible for enforcing security and the kernel extensions run as apart of the kernel, kexts are not governed by macOS security policies. Kexts are loaded and unloaded through <code>kextload</code> and <code>kextunload</code> commands. Kexts need to be signed with a developer ID that is granted privileges by Apple allowing it to sign Kernel extensions. Developers without these privileges may still sign kexts but they will not load unless SIP is disabled. If SIP is enabled, the kext signature is verified before being added to the AuxKC.(Citation: System and kernel extensions in macOS)3334Since macOS Catalina 10.15, kernel extensions have been deprecated in favor of System Extensions. However, kexts are still allowed as "Legacy System Extensions" since there is no System Extension for Kernel Programming Interfaces.(Citation: Apple Kernel Extension Deprecation)3536Adversaries can use LKMs and kexts to conduct [Persistence](https://attack.mitre.org/tactics/TA0003) and/or [Privilege Escalation](https://attack.mitre.org/tactics/TA0004) on a system. Examples have been found in the wild, and there are some relevant open source projects as well.(Citation: Volatility Phalanx2)(Citation: CrowdStrike Linux Rootkit)(Citation: GitHub Reptile)(Citation: GitHub Diamorphine)(Citation: RSAC 2015 San Francisco Patrick Wardle)(Citation: Synack Secure Kernel Extension Broken)(Citation: Securelist Ventir)(Citation: Trend Micro Skidmap)3738## Agent workflow39401. 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.412. 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.423. 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.434. Produce defensive outputs: prioritize hypotheses, telemetry requirements, detection logic ideas, validation steps, containment guidance, and mitigations.445. Preserve uncertainty: distinguish confirmed evidence, plausible indicators, assumptions, and gaps. Recommend what to collect next.456. 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.4647## Bundled resources4849- `references/technique-profile.json`: machine-readable ATT&CK metadata for this technique.50- `references/detection-and-mitigation.md`: detection notes, telemetry checklist, triage questions, mitigation candidates, and false-positive considerations.51- `references/known-threat-context.md`: ATT&CK relationship context with attribution cautions.52- `templates/detection-brief.md`: detection engineering brief template.53- `templates/hunt-plan.md`: threat hunt plan template.54- `templates/incident-response-note.md`: incident response note template.55- `templates/coverage-assessment.md`: ATT&CK coverage assessment template.56- `scripts/render_brief.py`: local helper that renders a Markdown defensive brief from `technique-profile.json`.57- `assets/output-schema.json`: JSON schema for structured technique analysis outputs.5859To generate a quick brief, run `python scripts/render_brief.py --output brief.md` from inside this skill directory, or adapt the templates directly.6061## Detection guidance6263No ATT&CK detection guidance was present in the source STIX object.6465## Useful telemetry and data sources6667- Not specified in the STIX object.6869## Mitigations to consider7071- Antivirus/Antimalware72- Execution Prevention73- Privileged Account Management74- User Account Management7576## Known threat context7778Use these examples only as contextual leads, not as proof that an observed event is this technique:7980- Drovorub (malware)81- Operation CuckooBees (campaign)82- REPTILE (malware)83- Skidmap (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.9596## ATT&CK contributors9798- Wayne Silva, F-Secure Countercept99- Anastasios Pingios100- Jeremy Galloway101- Red Canary102- Eric Kaiser @ideologysec