RuleForge, an AWS system, automatically generates detection rules from structured Nuclei templates to identify malicious HTTP requests exploiting specific vulnerabilities, addressing the challenge of scaling web vulnerability detection. This automated approach includes a Large Language Model as judge for confidence validation, reducing false positives by 67% compared to synthetic-test-only methods, making it crucial for security teams managing an overwhelming number of CVEs.
Read the full article at arXiv cs.CR (Cryptography & Security)
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