CVE-2025-47277

vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...

vLLM Allows Remote Code Execution via PyNcclPipe Communication Service

Impacted Environments This issue ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. Summary vLLM supports the use of the PyNcclPipe class to establish a peer-to-peer communication domain for data transmission...

CVE-2025-47277 vLLM Allows Remote Code Execution via PyNcclPipe Communication Service

vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...

CVE-2025-47277

vLLM (versions 0.6.5–0.8.4) is affected only when using the PyNcclPipe KV cache transfer integration with the V0 engine. The issue stems from the PyTorch TCPStore binding defaulting to ALL interfaces; a workaround constrained the store to a private interface, and as of version 0.8.5 vLLM now bind...

CVE-2025-47277 vLLM Allows Remote Code Execution via PyNcclPipe Communication Service

vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...

PT-2025-22278

Name of the Vulnerable Software and Affected Versions vLLM versions 0.6.5 through 0.8.4 Description vLLM, an inference and serving engine for large language models LLMs, contains a remote code execution issue. This impacts environments utilizing the PyNcclPipe KV cache transfer integration with t...

vLLM 代码问题漏洞

vLLM is a vLLM open source high throughput and memory efficient inference and service engine for LLM. A code issue vulnerability exists in vLLM versions 0.6.5 through 0.8.4, which stems from PyNcclPipe KV cache transfers not properly limiting the scope of TCPStore interface access...