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Critical Vulnerability Discovered in SGLang Framework

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Security researchers have identified a critical flaw in the open-source SGLang library that enables remote code execution through malicious model files. This vulnerability poses a significant risk to systems processing large language models, as attackers can exploit a compromised reranking endpoint to execute arbitrary Python code. The disclosure highlights urgent concerns regarding the security posture of widely adopted open-source AI frameworks.