vLLM 代码问题漏洞

vLLM is an open-source solution designed for LLM-based models, featuring high throughput and memory-efficient reasoning and service engines. Versions of vLLM prior to 0.16.0 to 0.19.0 contained code vulnerabilities. These vulnerabilities stemmed from a lack of URL validation in the...

CVE-2025-46570 vLLM’s Chunk-Based Prefix Caching Vulnerable to Potential Timing Side-Channel

vLLM is an inference and serving engine for large language models LLMs. Prior to version 0.9.0, when a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT Time to First Token. These timing differences...

CVE-2025-25183

CVE-2025-25183 affects vLLM (prefix cache) where malicious inputs can trigger Python 3.12’s hash(None) behaving as a predictable constant, enabling hash collisions in the prefix cache. This may allow cache entries created from one prompt to be reused for another, causing unintended behavior in re...