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Agentic Detection Lookups MCP Server

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LOLBAS, GTFOBins, and process parent-child lookups for detection engineering agents.

About

LOLBAS, GTFOBins, and process parent-child lookups for detection engineering agents.

Security Report

4.2
Use Caution4.2High Risk

This MCP server provides read-only access to structured security lookup data (LOLBAS, GTFOBins, process baselines) with no authentication requirements. The code is clean and well-structured with proper input handling. Minor concerns include lack of update mechanism for CSV files and absence of input validation on limits/offset parameters, but these do not pose security risks given the server's read-only nature and benign data. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity).

5 files analyzed · 10 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-detection-forge-agentic-detection-lookups": {
      "args": [
        "agentic-detection-lookups"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Agentic Detection Lookups

Machine-readable detection lookups for SIEM enrichment and AI agents. MCP-native.

Stop regex-matching 200+ binaries. Enrich in one match() call.
Feed it to your SIEM, your SOAR, your agent, or your LLM.

What is this?

A collection of structured CSV lookup files purpose-built for:

  • SIEM enrichment — one match()/lookup/join replaces entire rule categories
  • AI agent tooling — MCP server included, agents query detection context in real-time
  • Detection automation — consistent schema, CI-updated, deploy-ready

Lookup Files

FileEntriesOSDescription
lolbas_binaries.csv232WindowsLiving Off The Land Binaries and Scripts — risk-scored, categorized, MITRE-mapped
gtfobins.csv477LinuxGTFOBins Unix binaries — shell escape, priv-esc, file ops, MITRE-mapped
parent_child_baselines.csv97BothExpected/suspicious process parent→child relationships for Windows and Linux

Schema Contract

Every lookup file follows:

  1. First column = match key (the field you join on)
  2. Always includes risk or risk_if_unexpected column
  3. Always includes MITRE ATT&CK technique mapping
  4. No nested data — flat columns, pipe-delimited for multi-value
  5. UTF-8, no BOM, Unix line endings, header row always present

Quick Start

SIEM (copy-paste)

CrowdStrike NG-SIEM:

#event_simpleName=ProcessRollup2
| binary := lower(FileName)
| match(file="lolbas_binaries.csv", field=binary, column=filename, include=[categories, mitre_ids, risk])
| risk="high"

Splunk:

index=crowdstrike event_simpleName=ProcessRollup2
| rex field=FileName "(?<binary>[^\\\\]+)$"
| lookup lolbas_binaries.csv filename AS binary OUTPUT categories mitre_ids risk
| where risk="high"

Elastic (ES|QL):

FROM logs-endpoint.events.process-*
| WHERE event.action == "start"
| ENRICH lolbas-policy ON process.name = filename WITH categories, risk
| WHERE risk == "high"

Microsoft Sentinel:

DeviceProcessEvents
| extend binary = tolower(FileName)
| join kind=inner (_GetWatchlist('lolbas_binaries')) on $left.binary == $right.filename
| where risk == "high"

See queries/ for full query libraries per platform.

MCP Server (AI agents)

{
  "servers": {
    "detection-lookups": {
      "type": "stdio",
      "command": "python",
      "args": ["-m", "mcp_server"],
      "cwd": "/path/to/agentic-detection-lookups"
    }
  }
}

Then your agent can:

→ detection_lookup_binary("certutil.exe")
← {source: "lolbas", risk: "medium", categories: ["Download"], mitre_ids: ["T1105"]}

→ detection_lookup_binary("python")
← {source: "gtfobins", risk: "high", categories: ["shell", "reverse-shell", ...], mitre_ids: ["T1059"]}

→ detection_check_parent_child("winword.exe", "cmd.exe")
← {expected: false, risk_if_unexpected: "critical", mitre_id: "T1204.002"}

MCP Tools

ToolInputOutput
detection_lookup_binaryfilenameRisk, categories, MITRE IDs, source (lolbas/gtfobins)
detection_check_parent_childparent, child, os_filterExpected/suspicious, risk level, triage guidance
detection_list_by_categorycategory, limit, offsetPaginated binaries in that abuse category (cross-platform)
detection_list_by_mitretechnique_id, limit, offsetPaginated binaries mapped to that technique (cross-platform)
detection_searchquery, limitMatches across all lookup data with total/has_more
detection_list_lookupsAll files with row counts and columns

Data Sources

LookupSourceUpdate Frequency
LOLBAS binariesLOLBAS ProjectWeekly (automated)

Installation

Prerequisites

  • Python 3.10+
  • VS Code with GitHub Copilot (for MCP integration)

Install

git clone https://github.com/detection-forge/agentic-detection-lookups.git
cd agentic-detection-lookups
python -m venv .venv
# Windows:
.venv\Scripts\activate
# Linux/macOS:
source .venv/bin/activate
pip install -e .

Configure MCP Client (VS Code)

Add to your VS Code User settings (Ctrl+Shift+P → "Preferences: Open User Settings (JSON)") or ~/.vscode/mcp.json:

{
  "servers": {
    "detection-lookups": {
      "type": "stdio",
      "command": "/absolute/path/to/.venv/bin/python",
      "args": ["-m", "mcp_server"],
      "cwd": "/absolute/path/to/agentic-detection-lookups"
    }
  }
}

Windows example:

{
  "servers": {
    "detection-lookups": {
      "type": "stdio",
      "command": "C:\\Code\\.venv\\Scripts\\python.exe",
      "args": ["-m", "mcp_server"],
      "cwd": "C:\\Code\\agentic-detection-lookups"
    }
  }
}

Reload VS Code: Ctrl+Shift+P → "Reload Window"

Verify

In Copilot Chat (Agent mode):

Is certutil.exe a LOLBAS binary?

✅ Returns risk, categories, and MITRE mappings = working!

Run standalone (CLI)

detection-lookups

This starts the MCP server on stdio transport (useful for piping JSON-RPC or connecting other MCP clients).

Upload to your SIEM

  • CrowdStrike NG-SIEM: Upload via API or UI (Settings → Lookup Files)
  • Splunk: Settings → Lookups → Lookup table files → Add new
  • Elastic: Create enrich index + ingest pipeline
  • Sentinel: Configuration → Watchlist → Add new

Project Structure

agentic-detection-lookups/
├── lookups/                    # The data (CSV files)
│   ├── lolbas_binaries.csv
│   ├── gtfobins.csv
│   └── parent_child_baselines.csv
├── queries/                    # Copy-paste detection queries
│   ├── crowdstrike_ngsiem.md
│   ├── splunk.md
│   ├── elastic.md
│   └── microsoft_sentinel.md
├── mcp_server/                 # MCP server for AI agents
│   ├── server.py
│   └── __init__.py
├── scripts/                    # Update/maintenance scripts
├── LICENSE                     # Apache 2.0
├── NOTICE
└── pyproject.toml

Contributing

PRs welcome. See CONTRIBUTING.md for guidelines.

To add a new lookup file:

  1. Follow the schema contract (match key first, include risk + MITRE columns)
  2. Include at least one query example per SIEM platform
  3. Add a tool to the MCP server

License

Apache 2.0 — See LICENSE and NOTICE.


Built by Gene Kazimiarovich | Part of Detection Forge

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