Server data from the Official MCP Registry
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
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.
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 GitHubFrom 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/joinreplaces 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
| File | Entries | OS | Description |
|---|---|---|---|
lolbas_binaries.csv | 232 | Windows | Living Off The Land Binaries and Scripts — risk-scored, categorized, MITRE-mapped |
gtfobins.csv | 477 | Linux | GTFOBins Unix binaries — shell escape, priv-esc, file ops, MITRE-mapped |
parent_child_baselines.csv | 97 | Both | Expected/suspicious process parent→child relationships for Windows and Linux |
Schema Contract
Every lookup file follows:
- First column = match key (the field you join on)
- Always includes
riskorrisk_if_unexpectedcolumn - Always includes MITRE ATT&CK technique mapping
- No nested data — flat columns, pipe-delimited for multi-value
- 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
| Tool | Input | Output |
|---|---|---|
detection_lookup_binary | filename | Risk, categories, MITRE IDs, source (lolbas/gtfobins) |
detection_check_parent_child | parent, child, os_filter | Expected/suspicious, risk level, triage guidance |
detection_list_by_category | category, limit, offset | Paginated binaries in that abuse category (cross-platform) |
detection_list_by_mitre | technique_id, limit, offset | Paginated binaries mapped to that technique (cross-platform) |
detection_search | query, limit | Matches across all lookup data with total/has_more |
detection_list_lookups | — | All files with row counts and columns |
Data Sources
| Lookup | Source | Update Frequency |
|---|---|---|
| LOLBAS binaries | LOLBAS Project | Weekly (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:
- Follow the schema contract (match key first, include risk + MITRE columns)
- Include at least one query example per SIEM platform
- 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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