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

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CISA Adds NAKIVO Vulnerability to KEV Catalog Amid Active Exploitation

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