7WaySecurity

7WaySecurity / ai_osint

Public

🤖 Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents

www.7waysecurity.co ai-osint ai-security api-keys artificial-intelligence bug-bounty
12
0
100% credibility
Found Apr 09, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated collection of search queries, patterns, tools, and threat intelligence for identifying exposed AI infrastructure and leaked credentials, designed for security researchers.

How It Works

1
🔍 Discover the AI safety guide

You find this free online collection while learning about risks in AI systems shared on the internet.

2
📖 Explore organized tips

Browse the easy-to-read sections packed with simple search ideas and real-world examples of common AI exposures.

3
Pick your search adventure
🌐
Web conversations

Look for shared AI chats that accidentally reveal secrets.

💻
Code secrets

Spot hidden passwords in public project files.

🛰️
Live servers

Find AI tools running openly without locks.

4
📋 Grab a ready search tip

Copy one of the straightforward phrases provided just for this.

5
🔦 Search and uncover

Paste it into a search engine and see real examples of exposed AI chats, servers, or leaked info pop up.

6
💡 Learn the dangers

Read stories of past incidents to understand why securing AI matters.

🛡️ Stay safe and informed

Now you can check your own AI projects for weaknesses or share knowledge to help others protect theirs.

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Star Growth

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AI-Generated Review

What is ai_osint?

ai_osint is a curated GitHub list of AI OSINT resources, packing Google dorks, Shodan queries, GitHub dorks, and Censys searches to uncover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents. It solves the chaos of hunting insecure AI infrastructure—like 175,000+ exposed Ollama servers—by handing red teamers ready-to-paste queries for services from OpenAI to Qdrant. Built as a Markdown-driven collection, it draws from protocols like MCP and covers API patterns for quick recon.

Why is it gaining traction?

Unlike scattered ai osint tools on Reddit or generic OSINT frameworks, this stands out with AI-specific dorks for emerging threats like MCP agent gateways and Grok conversation leaks, plus Sigma detection rules and threat intel timelines. Developers grab it for the no-setup value: copy-paste Shodan filters that actually work, vetted against real incidents like Operation Bizarre Bazaar. It's a free, focused ai osint github companion to broader lists like cloud_osint.

Who should use this?

Red team operators scanning for LLMjacking vectors, penetration testers probing MLOps platforms like MLflow, and bug bounty hunters chasing AI API leaks from Anthropic or Groq. OSINT researchers tracking osint ai agent github exposures or vector DB misconfigs will find it indispensable for daily recon workflows.

Verdict

Worth starring for anyone dipping into ai osint—solid docs and practical queries make it a quick win despite 12 stars and 1.0% credibility score signaling early maturity. Fork and contribute to push it toward a full ai osint framework.

(178 words)

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