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Google has revealed that its AI-powered fuzzing tool, OSS-Fuzz, has been used to help identify 26 vulnerabilities in various open-source code repositories, including a medium-severity flaw in the OpenSSL cryptographic library. "These particular vulnerabilities represent a milestone for automated vulnerability finding: each was found with AI, using AI-generated and enhanced fuzz targets,"

Threat hunters are warning about an updated version of the Python-based NodeStealer that's now equipped to extract more information from victims' Facebook Ads Manager accounts and harvest credit card data stored in web browsers. "They collect budget details of Facebook Ads Manager accounts of their victims, which might be a gateway for Facebook malvertisement," Netskope Threat Labs researcher

Posted by Oliver Chang, Dongge Liu and Jonathan Metzman, Google Open Source Security Team Recently, OSS-Fuzz reported 26 new vulnerabilities to open source project maintainers, including one vulnerability in the critical OpenSSL library (CVE-2024-9143) that underpins much of internet infrastructure. The reports themselves aren’t unusual—we’ve reported and helped maintainers fix over 11,000 vulnerabilities in the 8 years of the project.  But these particular vulnerabilities represent a milestone for automated vulnerability finding: each was found with AI, using AI-generated and enhanced fuzz targets. The OpenSSL CVE is one of the first vulnerabilities in a critical piece of software that was discovered by LLMs, adding another real-world example to a recent Google discovery of an exploitable stack buffer underflow in the widely used database engine SQLite. This blog post discusses the results…

Posted by Oliver Chang, Dongge Liu and Jonathan Metzman, Google Open Source Security Team Recently, OSS-Fuzz reported 26 new vulnerabilities to open source project maintainers, including one vulnerability in the critical OpenSSL library (CVE-2024-9143) that underpins much of internet infrastructure. The reports themselves aren’t unusual—we’ve reported and helped maintainers fix over 11,000 vulnerabilities in the 8 years of the project.  But these particular vulnerabilities represent a milestone for automated vulnerability finding: each was found with AI, using AI-generated and enhanced fuzz targets. The OpenSSL CVE is one of the first vulnerabilities in a critical piece of software that was discovered by LLMs, adding another real-world example to a recent Google discovery of an exploitable stack buffer underflow in the widely used database engine SQLite. This blog post discusses the results…