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Critical Flaws in Ollama AI Framework Could Enable DoS, Model Theft, and Poisoning

The Hacker Newsby @TheHackersNews ()2 min read6 · 2 reads
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Vulnerabilities mentioned

All
CVEVulnerabilityCVSSEPSSSignalsPublished
CVE-2024-37032
Ollama before 0.1.34 does not validate the format of the digest (sha256 with 64 hex digits) when getting the model path, and thus mishandles the…
8.890%PoC
CVE-2024-39720
+3 related CVEs
An issue was discovered in Ollama before 0.1.46
8.2
group max
2%PoC

From the original article

2 min read at thehackernews.com

 Ravie Lakshmanan  Nov 04, 2024 Vulnerability / Cyber Threat Cybersecurity researchers have disclosed six security flaws in the Ollama artificial intelligence (AI) framework that could be exploited by a malicious actor to perform various actions, including denial-of-service, model poisoning, and model theft.

The Hacker News

By @TheHackersNews · thehackernews.com

Read the full article at The Hacker News

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