sglang — Vulnerabilities & Security Advisories 32

This page documents security vulnerabilities within the sglang inference server, categorized by common weakness types and associated tags. It aggregates reported flaws affecting this specific open-source LLM inference engine, covering issues disclosed between 2023 and 2024. The collection focuses on critical and high-severity bugs that impact availability, integrity, and confidentiality, including memory safety errors and logic flaws introduced during model execution or API handling. Readers can use this resource to track vendor advisories for sglang and monitor the evolution of its security posture. By examining the listed entries, users can understand the prevalence of specific weakness classes within the project’s codebase and identify patterns in how flaws are reported and patched. This historical perspective helps development teams and security auditors assess the product’s resilience over time. The data supports risk management decisions by highlighting recurring issues in memory management and input validation. Users looking up the product’s vulnerability history can compare current versions against past incidents to determine if specific patches have been adequately applied. This consolidated view aids in prioritizing updates and mitigating exposure to known attack vectors. The content is organized to facilitate quick reference for incident response and continuous monitoring. It serves as a central point for understanding the security landscape surrounding sglang without requiring extensive manual search across multiple disclosure platforms.