About

Imported from mukul975/anthropic-cybersecurity-skills (skills/detecting-living-off-the-land-with-lolbas/SKILL.md). Install upstream with npx skills add mukul975/anthropic-cybersecurity-skills --skill detecting-living-off-the-land-with-lolbas. Copyright stays with the author (Apache-2.0).

Detecting Living Off the Land with LOLBAS

Name: detecting-living-off-the-land-with-lolbas
Author: mukul975

Overview

Living Off the Land Binaries, Scripts, and Libraries (LOLBAS) are legitimate system utilities abused by attackers to execute malicious actions while evading detection. This skill covers detecting abuse of certutil.exe, regsvr32.exe, mshta.exe, rundll32.exe, msbuild.exe, and other LOLBins using process telemetry from Sysmon and Windows Event Logs, combined with Sigma rule-based detection.

When to Use

When investigating security incidents that require detecting living off the land with lolbas
When building detection rules or threat hunting queries for this domain
When SOC analysts need structured procedures for this analysis type
When validating security monitoring coverage for related attack techniques

Prerequisites

Sysmon or Windows Security Event Log (Event ID 4688) with command-line logging enabled
Sigma rule conversion tool (sigmac or sigma-cli)
SIEM platform (Splunk, Elastic, or similar) for log ingestion
Python 3.8+ with pySigma library
LOLBAS project reference database

Steps

Establish LOLBin Watchlist — Build a prioritized list of monitored binaries (certutil, mshta, regsvr32, rundll32, msbuild, installutil, cmstp, wmic, bitsadmin)
Collect Process Telemetry — Ingest Sysmon Event ID 1 (Process Create) and Windows 4688 events with full command-line capture
Build Sigma Detection Rules — Create Sigma rules matching suspicious command-line arguments, network activity, and parent-child process anomalies for each LOLBin
Analyze Parent-Child Relationships — Flag unexpected parent processes spawning LOLBins (e.g., Excel spawning certutil, Word spawning mshta)
Score and Prioritize Alerts — Apply risk scoring based on argument anomaly, parent process, execution path, and network indicators
Generate Detection Report — Produce a structured report of all LOLBin abuse detections with MITRE ATT&CK mapping

Expected Output

JSON report listing detected LOLBin abuse events with severity scores
MITRE ATT&CK technique mapping for each detection (T1218, T1105, T1140, T1127)
Parent-child process anomaly analysis
Sigma rule match details with raw event data

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/mukul975-anthropic-cybersecurity-skills-detecting-living-c022a3/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.

mukul975-anthropic-cybersecurity-skills-detecting-living-c022a3.ocm.jsonjson

{
  "ocm": "1",
  "id": "mukul975-anthropic-cybersecurity-skills-detecting-living-c022a3",
  "kind": "skill",
  "name": "detecting-living-off-the-land-with-lolbas",
  "description": "Detect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis with Sysmon endpoint data. Use when hunting for adversaries abusing built-in Windows binaries to download, execute, or proxy malicious code while evading traditional executable-based detection.",
  "publisher": "mukul975",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "lolbas",
      "lolbins",
      "sigma-rules",
      "process-monitoring",
      "sysmon",
      "endpoint-detection",
      "threat-hunting",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Detect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis with Sysmon endpoint data. Use when hunting for adversaries abusing built-in Windows binaries to download, execute, or proxy malicious code while evading traditional executable-based detection."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/mukul975/anthropic-cybersecurity-skills",
      "path": "skills/detecting-living-off-the-land-with-lolbas/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/mukul975/anthropic-cybersecurity-skills/blob/HEAD/skills/detecting-living-off-the-land-with-lolbas/SKILL.md",
      "key": "mukul975/anthropic-cybersecurity-skills/skills/detecting-living-off-the-land-with-lolbas/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# Detecting Living Off the Land with LOLBAS\n\n## Overview\n\nLiving Off the Land Binaries, Scripts, and Libraries (LOLBAS) are legitimate system utilities abused by attackers to execute malicious actions while evading detection. This skill covers detecting abuse of certutil.exe, regsvr32.exe, mshta.exe, rundll32.exe, msbuild.exe, and other LOLBins using process telemetry from Sysmon and Windows Event Logs, combined with Sigma rule-based detection.\n\n\n## When to Use\n\n- When investigating security incidents that require detecting living off the land with lolbas\n- When building detection rules or thr",
  "cost": {
    "context_tokens": 555
  }
}

Fetch it by URL: GET /api/v1/registry/mukul975-anthropic-cybersecurity-skills-detecting-living-c022a3/manifest?version=1.0.0

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