AI Discovers Critical OpenSSL Vulnerabilities in 2026
In January 2026, the AI-assisted cybersecurity firm Aisle identified twelve previously undisclosed vulnerabilities in OpenSSL, a widely used cryptographic library essential for secure internet communications. These vulnerabilities, some dating back to 1998, included critical issues like CVE-2025-15467, a stack buffer overflow in CMS message parsing that could lead to remote code execution. OpenSSL rated this vulnerability as HIGH severity, with a CVSS v3 score of 9.8 out of 10. The discovery underscores the potential of AI in enhancing cybersecurity measures by identifying complex vulnerabilities that have eluded traditional detection methods. ([tomshardware.com](https://www.tomshardware.com/tech-industry/cyber-security/ai-assisted-cybersecurity-team-discovers-12-openssl-vulnerabilities-claims-humans-are-the-limiting-factor-some-vulnerabilities-have-been-around-for-decades?utm_source=openai)) The findings highlight the evolving landscape of cybersecurity, where AI tools are becoming instrumental in proactively identifying and mitigating risks. This shift emphasizes the need for organizations to integrate AI-driven solutions into their security protocols to stay ahead of sophisticated cyber threats.
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