I Rebuilt a Real World MCP Bug. Can AI Find It?

[BLUF]
The video demonstrates how an AI chatbot's open redirect vulnerability can be chained with SSRF to access internal services and exfiltrate sensitive credentials, a flaw also detected by the Snyk Evo AI security scanner 2:15.

Key Takeaways:
• The researcher built a lab to test if an AI chatbot could be tricked into fetching internal URLs by exploiting an open redirect on a trusted domain 0:56.
• Manual exploitation involved finding an open redirect behind the login, using it to point the chatbot to a local service, and bypassing security checks via HTTP headers 10:57.
• The Snyk Evo tool was used to automatically identify this complex logical chain, including the open redirect and subsequent SSRF, without prior knowledge of the specific vulnerability 3:03.
• The successful exploit allowed the chatbot to fetch the admin.config file from the internal server, revealing database credentials and API keys 13:02.
• The attacker used a redirect chain (trusted domain -> external service -> localhost) to bypass the chatbot's internal URL blocklist 14:45.

[Closing statement]
This case highlights the critical risk of logical vulnerabilities in AI-connected tools, where simple redirect flaws can bypass security controls to expose internal infrastructure. It also proves that AI-powered scanners can effectively detect these multi-step attack chains that traditional tools might miss.

Sources:

• 0:56 Introduction of the lab environment with a vulnerable chatbot and open redirect.
• 3:03 Overview of Snyk Evo's capabilities for AI security testing and target configuration.
• 10:57 Explanation of the manual exploitation technique using HTTP headers to bypass restrictions.
• 13:02 Demonstration of successfully accessing internal admin configuration files via the exploit.
• 14:45 Summary of the automated attack chain identified by the Snyk Evo scanner.