Cybersecurity researchers have uncovered a severe, unpatched vulnerability in Ollama, a popular open-source platform used for running large language models locally. Tracked as CVE-2026-5757, this critical flaw exists in Ollama’s model quantization engine. If exploited, it allows an unauthenticated attacker to steal sensitive server data by simply uploading a maliciously crafted AI model file. How […] The post Hackers Exploit Ollama Model Uploads to Leak Server Data appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.
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