A security researcher developed a static scanner to identify server-side request forgery (SSRF) vulnerabilities in MCP servers. After an initial scan of 36 public MCP servers yielded 482 findings, a manual review revealed that most were false positives. These included legitimate uses of functions like `exec()`, comments, and placeholder secrets. After refining the scanner to better distinguish exploitable SSRF from noise, a subsequent scan of the same servers resulted in only 28 findings, none of which were deemed exploitable. AI
IMPACT This tool improves the security posture of web applications by identifying potential vulnerabilities.
RANK_REASON The cluster describes a new security scanning tool and its findings, not a frontier release or significant industry event.
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