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Security Flaws in Popular ML Toolkits Enable Server Hijacks, Privilege Escalation


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2024-11-11 10:37:22
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Red Team (CNA)
Cybersecurity researchers have uncovered nearly two dozen security flaws spanning 15 different machine learning (ML) related open-source projects.
These comprise vulnerabilities discovered both on the server- and client-side, software supply chain security firm JFrog said in an analysis published last week.
The server-side weaknesses "allow attackers to hijack important servers in the



Source: TheHackerNews
Source Link: https://thehackernews.com/2024/11/security-flaws-in-popular-ml-toolkits.html


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