How Neo found an SSRF vulnerability in Faraday, and why it matters for every team that ships code

ProjectDiscovery's AI security copilot, Neo, has identified a Server-Side Request Forgery (SSRF) vulnerability within Faraday, a popular HTTP client library used extensively in the Ruby ecosystem. This marks the first credited CVE discovery by an autonomous AI agent. The vulnerability stems from a subtle URL-handling edge case that could potentially allow attackers to access internal resources or escalate privileges within applications relying on this dependency. While no active exploitation is reported, the widespread use of Faraday necessitates immediate attention. Developers and security teams utilizing Ruby dependencies should audit their environments for affected versions of Faraday and apply patches promptly. This discovery highlights the growing capability of AI-driven tools in vulnerability research and underscores the importance of securing open-source supply chains against potential SSRF exploits that could compromise server-side security posture.

Executive Summary Neo found a Server-Side Request Forgery (SSRF) vulnerability in Faraday, a widely used HTTP client library in the Ruby ecosystem. This is Neo’s first credited CVE discovery. Neo is ProjectDiscovery’s AI security copilot for tasks like code review and vulnerability discovery. For this finding, Neo reviewed a widely used open source dependency and, without human guidance, surfaced a subtle URL-handling edge case, validated it in runtime, and produced a clear write-up that maint

ProjectDiscovery's AI security copilot, Neo, has identified a Server-Side Request Forgery (SSRF) vulnerability within Faraday, a popular HTTP client library used extensively in the Ruby ecosystem. This marks the first credited CVE discovery by an autonomous AI agent. The vulnerability stems from a subtle URL-handling edge case that could potentially allow attackers to access internal resources or escalate privileges within applications relying on this dependency. While no active exploitation is reported, the widespread use of Faraday necessitates immediate attention. Developers and security teams utilizing Ruby dependencies should audit their environments for affected versions of Faraday and apply patches promptly. This discovery highlights the growing capability of AI-driven tools in vulnerability research and underscores the importance of securing open-source supply chains against potential SSRF exploits that could compromise server-side security posture. Executive Summary Neo found a Server-Side Request Forgery (SSRF) vulnerability in Faraday, a widely used HTTP client library in the Ruby ecosystem. This is Neo’s first credited CVE discovery. Neo is ProjectDiscovery’s AI security copilot for tasks like code review and vulnerability discovery. For this finding, Neo reviewed a widely used open source dependency and, without human guidance, surfaced a subtle URL-handling edge case, validated it in runtime, and produced a clear write-up that maint Executive Summary Neo found a Server-Side Request Forgery (SSRF) vulnerability in Faraday, a widely used HTTP client library in the Ruby ecosystem. This is Neo’s first credited CVE discovery. Neo is ProjectDiscovery’s AI security copilot for tasks like code review and vulnerability discovery. For this finding, Neo reviewed a widely used open source dependency and, without human guidance, surfaced a subtle URL-handling edge case, validated it in runtime, and produced a clear write-up that maint