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    Home»Security»Common Vulnerabilities and Exposures (CVEs)»CVE-2025-47277 – NVIDIA vLLM Unauthenticated Remote Code Execution

    CVE-2025-47277 – NVIDIA vLLM Unauthenticated Remote Code Execution

    May 20, 2025

    CVE ID : CVE-2025-47277

    Published : May 20, 2025, 6:15 p.m. | 1 hour, 44 minutes ago

    Description : 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 the `PyNcclPipe` class to establish a peer-to-peer communication domain for data transmission between distributed nodes. The GPU-side KV-Cache transmission is implemented through the `PyNcclCommunicator` class, while CPU-side control message passing is handled via the `send_obj` and `recv_obj` methods on the CPU side.​ The intention was that this interface should only be exposed to a private network using the IP address specified by the `–kv-ip` CLI parameter. The vLLM documentation covers how this must be limited to a secured network. The default and intentional behavior from PyTorch is that the `TCPStore` interface listens on ALL interfaces, regardless of what IP address is provided. The IP address given was only used as a client-side address to use. vLLM was fixed to use a workaround to force the `TCPStore` instance to bind its socket to a specified private interface. As of version 0.8.5, vLLM limits the `TCPStore` socket to the private interface as configured.

    Severity: 9.8 | CRITICAL

    Visit the link for more details, such as CVSS details, affected products, timeline, and more…

    Source: Read More

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    Severity: 4.0 | MEDIUM

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