AI-assisted cybersecurity team discovers 12 OpenSSL vulnerabilities, claims humans are the limiting factor — some vulnerabilities have been around for decades

AI-assisted cybersecurity team discovers 12 OpenSSL vulnerabilities, claims humans are the limiting factor — some vulnerabilities have been around for decades

CVE-2026-22796: Crash in PKCS#7 signature verification (affects code back to OpenSSL 1.0.2)

The rest are considered low-severity CVEs and include OpenSSL behaviors, ranging from memory exhaustion, memory corruption, encryption flaws, and straight-up crashes. Aisle reported that at least some of the 12 vulnerabilities can be traced back all the way to 1998. The discovery reveals how problematic manual human vulnerability detection can be. OpenSSL is one of the most popular tools for implementing SSL and TLS protocols for security purposes. If you've ever been to a website with an HTTPS URL, that website is likely encrypted and protected with OpenSSL. The cybersecurity company's AI toolset features context-aware detection that can understand the context of the code it is reviewing. It then goes through a set of steps to identify threats, including giving items a priority score to reduce false positives. AI-assisted security is being adopted rapidly in the security industry to increase the effectiveness of security systems in general, and especially to increase the effectiveness of security systems and companies against the onslaught of AI-assisted criminal attacks now plaguing our world. For example, AI researchers built an AI-powered security system a few years back that was able to predict criminal behavior with an 82.8% accuracy rating .

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Critical flaws found in AI development tools dubbed an 'IDEsaster'

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