Aisle Identifies Six New Curl Vulnerabilities After OpenAI and Anthropic Report None
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- •Aisle discovered six new CVEs in Curl after major AI tools reported none.
- •The vulnerabilities are rated low severity but highlight effective bug detection.
- •Aisle's AI tools found a total of 29 issues in Curl, showcasing their capability.
Aisle, an AI-native vulnerability-management startup, discovered six previously unknown vulnerabilities in Curl, a widely used software with over 20 billion instances deployed. This finding follows a statement from Curl's founder, Daniel Stenberg, who noted that both OpenAI's Codex Security and Anthropic's Mythos reported zero vulnerabilities in Curl. Aisle's analysis revealed a total of 29 issues, six of which were accepted and assigned CVE numbers by Curl's security team. The identified CVEs are rated as low severity, indicating limited practical impact but highlighting the effectiveness of Aisle's AI tools compared to larger models. The vulnerabilities include issues related to OpenSSL and secure attribute handling. Aisle's approach demonstrates that smaller models can effectively identify real bugs when applied systematically across codebases.
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