TensorFlow | Breaking Cybersecurity News | The Hacker News

A newly disclosed set of security flaws in NVIDIA's Triton Inference Server for Windows and Linux, an open-source platform for running artificial intelligence (AI) models at scale, could be exploited to take over susceptible servers. "When chained together, these flaws can potentially allow a remote, unauthenticated attacker to gain complete control of the server, achieving remote code execution (RCE)," Wiz researchers Ronen Shustin and Nir Ohfeld said in a report published today. The vulnerabilities are listed below - CVE-2025-23319 (CVSS score: 8.1) - A vulnerability in the Python backend, where an attacker could cause an out-of-bounds write by sending a request CVE-2025-23320 (CVSS score: 7.5) - A vulnerability in the Python backend, where an attacker could cause the shared memory limit to be exceeded by sending a very large request CVE-2025-23334 (CVSS score: 5.9) - A vulnerability in the Python backend, where an attacker could cause an out-of-bounds rea...

Continuous integration and continuous delivery (CI/CD) misconfigurations discovered in the open-source  TensorFlow  machine learning framework could have been exploited to orchestrate  supply chain attacks . The misconfigurations could be abused by an attacker to "conduct a supply chain compromise of TensorFlow releases on GitHub and PyPi by compromising TensorFlow's build agents via a malicious pull request," Praetorian researchers Adnan Khan and John Stawinski  said  in a report published this week. Successful exploitation of these issues could permit an external attacker to upload malicious releases to the GitHub repository, gain remote code execution on the self-hosted GitHub runner, and even retrieve a GitHub Personal Access Token (PAT) for the  tensorflow-jenkins user . TensorFlow uses GitHub Actions to automate the software build, test, and deployment pipeline. Runners, which refer to machines that execute jobs in a GitHub Actions workflow, can ...