A critical vulnerability in SGLang, a popular framework used to run large language models (LLMs), has raised serious concerns across the AI and cybersecurity communities. Security researchers have identified the flaw, tracked as CVE-2026-5760, which allows attackers to achieve Remote Code Execution (RCE) by exploiting malicious GGUF model files. The issue stems from how SGLang […] The post Hackers Could Weaponize GGUF Models to Achieve RCE on SGLang Inference Servers appeared first on Cyber Security News.