AI OSINT

June 18, 2026 · View on GitHub

AI-specific only. Generic OSINT tools (Shodan, Censys, etc.) → cloud_osint. Every link verified April 2026.


LLM Vulnerability Scanners

ToolDescriptionByLink
Garak"nmap for LLMs" — probes for hallucination, data leakage, prompt injection, jailbreaks, toxicity. 4.7k+ ⭐NVIDIAGitHub
promptfooLLM pentesting CLI. 133+ attack plugins, OWASP/MITRE mapping, CI/CD integration. Now part of OpenAI. 13k+ ⭐OpenAIGitHub
DeepTeam50+ vulnerabilities, 20+ attack methods. Maps to OWASP Top 10, MITRE, NIST. Built on DeepEval.Confident AIGitHub

AI Red Teaming Frameworks

ToolDescriptionByLink
PyRITPython Risk Identification Tool. Multi-turn attacks (Crescendo, TAP). Battle-tested in 100+ Microsoft red team ops.MicrosoftGitHub
AI Red Teaming Labs13+ hands-on challenge labs with PyRIT integration.MicrosoftGitHub

AI API Key Detection

ToolDescriptionLink
API RadarReal-time dashboard monitoring GitHub for leaked AI keys (OpenAI, Anthropic, Gemini). 9,200+ repos scanned.apiradar.live
KeyLeak DetectorWeb scanner with 200+ patterns including 15+ AI/LLM providers. Headless browser + network interception.GitHub
KeySentryScans GitHub repos for 25+ API key formats including AI providers. CLI + web.GitHub
KeyHacksValidation commands to verify if discovered API keys are live/active.GitHub

AI Chat & MCP OSINT

ToolDescriptionLink
promptmapChatGPT Google dorks and prompt injection testing. Source of site:chatgpt.com/share dorks.GitHub
Vulnerable MCP ProjectComprehensive MCP vulnerability database with CVEs, CVSS, PoCs, remediation.vulnerablemcp.info
MCP LandscapeAcademic MCP security research — attack surfaces, PoC servers, lifecycle threats.GitHub
OSINT MCP Server37 OSINT tools across 12 data sources via MCP for AI-assisted recon.Glama

AI Security Knowledge Bases

ResourceDescriptionLink
AI Red Teaming GuideOWASP Gen AI Red Teaming Guide with tool catalogs and MITRE ATLAS mapping.GitHub
LLM Security GuideOWASP LLM Top 10 2025 + Agentic Top 10 2026. Updated Feb 2026.GitHub
AI Red Team Handbook46-chapter curriculum with automated test runner.GitHub
AI Pentesting ToolkitAttack catalogs for ChatGPT, Claude, LLaMA.GitHub

Standards & Databases

ResourceLink
OWASP Top 10 for LLM Applications 2025owasp.org
OWASP Top 10 for Agentic Applications 2026owasp.org
MITRE ATLASatlas.mitre.org
MCP Security Best Practicesmodelcontextprotocol.io
NIST AI Risk Management Frameworknist.gov

🆕 v1.2.0 Tool Additions (April 2026)


MCPSafetyScanner

FieldDetails
URLgithub.com/johnhalloran321/mcpSafetyScanner
PurposeAudit MCP server configurations for security vulnerabilities
ByAcademic Research (Leidos)
AI-Specific✅ Purpose-built for MCP security auditing

Tool from the "MCP Safety Audit" paper (arXiv). Evaluates MCP server definitions for prompt injection vectors, tool poisoning, and excessive permissions. Integrates with the PROTOAMP framework for bridging agent security benchmarks to MCP infrastructure.


Cisco AI Supply Chain Scanners

FieldDetails
URLCisco Talos GitHub (open source)
PurposeSecurity scanning for MCP, A2A, agentic skill files, pickle files
ByCisco AI Threat Intelligence & Security Research
AI-Specific✅ Purpose-built for AI supply chain security

Released with Cisco State of AI Security 2026 report:

  • Structure-aware pickle fuzzer — adversarial pickle file generation
  • MCP server scanner — MCP implementation vulnerability detection
  • A2A (Agent-to-Agent) scanner — Google A2A protocol security
  • Agentic skill file scanner — malicious skill definition detection

DorkEye

FieldDetails
URLGitHub (search "DorkEye OSINT framework")
PurposeAutomated Google Dorking with multi-agent analysis pipeline
ByOpen Source Community
AI-Specific⚡ Configurable for AI infrastructure dorking

Python OSINT framework: interactive wizard, dork generator, multi-agent analysis (SQLi detection, secrets scanning, security analysis), HTML report export. Can be configured with AI-specific dork sets from this repository.


Claude Code Security

FieldDetails
URLclaude.com/solutions/claude-code-security
PurposeAI-powered static analysis — finds context-dependent vulnerabilities that rule-based tools miss
ByAnthropic
AI-Specific✅ AI model performing security analysis

Limited research preview for Enterprise/Team. Free for OSS maintainers. Built on Claude Opus 4.6 (500+ vulns found in production OSS). Reads code like a human researcher — traces data flows, catches business logic flaws.

⚠️ Defensive capability that Red Team operators should be aware of.


ATTESTMCP

FieldDetails
URLAcademic (arXiv: "Breaking the Protocol")
PurposeMCP protocol extension: capability attestation + message authentication
ByAcademic Research
AI-Specific✅ MCP protocol hardening

Reduces MCP attack success from 52.8% → 12.4% with 8.3ms overhead. Adds capability attestation, message authentication, and trust propagation controls. Backward-compatible.


Vulnerable MCP Database (UPDATE)

FieldDetails
URLvulnerablemcp.info
StatusUPDATED: 50 vulnerabilities, 13 critical, 32 researchers

New entries: CVE-2026-25536 (TypeScript SDK), CVE-2026-30615/30624/30616/40933 (Ox batch), CVE-2026-33032 (nginx-ui MCPwn), CVE-2026-27825/27826 (Atlassian). Academic analysis of 67,057 MCP servers across 6 registries.


🆕 v1.4.0 Tool Additions (June 2026)

All AI-specific, open-source, and verified against their repos (June 2026). Theme: MCP / agent-skill auditing — the defensive response to the OpenClaw crisis.

Agent Threat Rules (ATR)

FieldDetails
URLgithub.com/Agent-Threat-Rule/agent-threat-rules
WhatOpen detection standard — "like Sigma, but for AI agents." 425 rules covering skill compromise, MCP abuse, prompt injection, exfiltration. Maps to OWASP Agentic Top 10, MITRE ATLAS, NIST.
ByCommunity / OWASP A-S-R-H; shipped in Microsoft AGT, Cisco AI Defense, MISP
AI-Specific✅ Purpose-built detection format for agent/skill/MCP threats

Cisco DefenseClaw (governance suite)

FieldDetails
URLgithub.com/cisco-ai-defense/defenseclaw
WhatOpen-source agentic governance layer: admission control that scans skills, MCP servers, plugins, and generated code before they run. Bundles skill-scanner, mcp-scanner, a2a-scanner, CodeGuard static analysis, and an AI-BOM generator.
ByCisco AI Defense (Apache 2.0)
AI-Specific✅ Built for OpenClaw / agent ecosystems

Cisco MCP Scanner

FieldDetails
URLgithub.com/cisco-ai-defense/mcp-scanner
WhatStandalone CLI / REST scanner for MCP servers using YARA + LLM-as-judge + Cisco inspect API. Static/offline mode for CI/CD and air-gapped use; pip-audit integration for vulnerable Python deps.
ByCisco AI Defense
AI-Specific✅ MCP-specific

Cisco Skill Scanner

FieldDetails
URLvia cisco-ai-defense org
WhatDetects prompt injection, exfiltration, and malicious patterns in agent skills (Cursor, Claude Code, Codex).
ByCisco AI Defense (Apache 2.0)
AI-Specific✅ Agent-skill-specific

AgentAuditKit

FieldDetails
Installpip install agent-audit-kit
What77 rules across 13 scanners auditing 13 AI agent platforms (Claude Code, Cursor, Copilot, Windsurf, Amazon Q, Gemini CLI). Checks MCP config exposure, hardcoded keys, invisible-Unicode tool-description hijacking, taint analysis. Maps to OWASP MCP Top 10.
ByIndependent (Sattyam Jain)
AI-Specific

mcp-audit

FieldDetails
WhatOffline MCP config auditor across 8 MCP clients; cross-server attack paths, IDE extension security, SAST for Python/TypeScript (37 rules). Maps findings to OWASP MCP Top 10.
ByIndependent (Adam Dudley)
AI-Specific

SkillSpector

FieldDetails
WhatAgent-skill security scanner — 64 vulnerability patterns across 16 categories; 0–100 risk score with severity labels. Audits skills before deployment.
ByIndependent
AI-Specific

VIPER-MCP

FieldDetails
WhatCombined static + dynamic (taint-style) analysis framework for MCP servers. Ran across ~40,000 server repos → 106 zero-days / 67 CVEs.
ByAcademic research
AI-Specific✅ MCP-specific

Other defensive references worth tracking (knowledge bases, not tools): awesome-agent-skills-security, SAFE-MCP (OpenSSF), and the NSA MCP design-considerations guidance (June 2026).