Show HN: We're inviting Anthropic to put the real Mythos 5 on our open benchmark (realvuln.com)

A recent announcement invites Anthropic to participate in an open benchmark testing called Mythos 5, specifically designed for evaluating AI and machine learning security scanners. The benchmark highlights the capabilities and effectiveness of various scanning tools in identifying vulnerabilities across 26 repositories containing 697 vulnerabilities. Notably, the benchmark reveals that LLM-based scanners significantly outperform their rule-based counterparts, especially in complex vulnerability types that require semantic data-flow understanding, such as SQL injection and command injection. This development is crucial for the AI/ML community as it provides a transparent, comparative platform for assessing the effectiveness and cost-efficiency of different scanning approaches. The benchmark utilizes a metric that prioritizes recall over precision, emphasizing the importance of identifying as many vulnerabilities as possible while accounting for costs associated with the tools used. The findings from Mythos 5 could guide researchers and developers in selecting optimal vulnerability scanning solutions, enhancing overall security practices in AI-driven applications.