Hackers Could Weaponize GGUF Models to Achieve RCE on SGLang Inference Servers

A critical vulnerability in the SGLang inference server that allows threat actors to execute arbitrary code. Tracked as CVE-2026-5760, this flaw allows hackers to weaponize standard GGUF machine learning models to compromise the underlying servers that host them. As enterprise artificial intelligence deployments grow, this discovery highlights the severe infrastructure risks posed by loading untrusted […]

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