CVE-2026-55514

A flaw was found in vLLM, a library for Large Language Model LLM inference and serving. A remote attacker, authorized to make a /v1/completions request, can send a specially crafted prompt embeds payload. This action causes the EngineCore to fail an assertion and fatally crash, leading to a Denia...

CVE-2026-44223 vLLM: extract_hidden_states speculative decoding crashes server on any request with penalty parameters

vLLM is an inference and serving engine for large language models LLMs. From 0.18.0 to before 0.20.0, the extracthiddenstates speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The...

CVE-2026-44223

vLLM contains a vulnerability (CVE-2026-44223) where the extract_hidden_states speculative decoding pathway can crash the EngineCore process if any request uses penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). The issue arises from an incorrect tensor shape after t...

vLLM 安全漏洞

vLLM is an open-source LLM-based inference and service engine that features high throughput and efficient memory usage. Versions of vLLM prior to 0.20.0 contained a security vulnerability. This vulnerability stemmed from the extracthiddenstates speculative decoding proposal, which returned tensor...

PT-2026-38288

Name of the Vulnerable Software and Affected Versions vLLM versions 0.18.0 through 0.19.1 Description The extract hidden states speculative decoding proposer returns a tensor with an incorrect shape after the first decode step, leading to a RuntimeError that crashes the EngineCore process. This...

Remote Code Execution

velocity-engine-core is vulnerable to remote code execution. The Uberspector fails to prevent access to java.lang.ClassLoader methods and allows an attacker that is able to modify Template contents to execute arbitrary Java code or run arbitrary system commands with the same privileges as the...