Buffer overflow in Vllm
CVE-2025-62164
vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
EPSS: 0.009 (57.0th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.
Affected products
- Vllm — versions 0.11.1
- Vllm-project Vllm — versions >= 0.10.2, < 0.11.1
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Issue Tracking, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC, Issue Tracking, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC)
Frequently asked questions
- What is CVE-2025-62164?
- CVE-2025-62164 is a high-severity vulnerability in Vllm, classified under Improper Input Validation. CVSS score: 8.8/10. Published 2025-11-21.
- How severe is CVE-2025-62164?
- High severity. CVSS v3 base score is 8.8 out of 10.