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

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

First seen on thehackernews.com

Jump to article: thehackernews.com/2024/11/security-flaws-in-popular-ml-toolkits.html

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