Deserialization in Vllm
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 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.
Vulnerability class: Insecure Deserialization
Published · last modified .
CVSS v3 metric
CVSS v3 base score 9.8 (Critical). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.010 (61.0th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 61st percentile — 61.0% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.010 · newest: 0.010 · change: +0.000
Affected products
- Vllm
- Vllm-Project Vllm — versions >= 0.6.5, < 0.8.5
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/vllm-project/vllm/security/advisories/GHSA-hjq4-87xh-g4fv (Exploit, Vendor Advisory)
- github.com/vllm-project/vllm/pull/15988 (Patch, Issue Tracking)
- github.com/vllm-project/vllm/commit/0d6e187e88874c39cda7409cf673f9e6546893e7 (Patch)
- docs.vllm.ai/en/latest/deployment/security.html (Technical Description)
Frequently asked questions
- What is CVE-2025-47277?
- CVE-2025-47277 is a critical-severity vulnerability in Vllm, classified under Deserialization of Untrusted Data. CVSS score: 9.8/10. Published 2025-05-20.
- How severe is CVE-2025-47277?
- Critical severity. CVSS v3 base score is 9.8 out of 10.
- Is CVE-2025-47277 known to be exploited?
- 5 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.