GHSA-mrw7-hf4f-83pf · Severity: high · Ecosystem: pip — vLLM deserialization vulnerability leading to DoS and potential RCE
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.
Conclusion & alert: CVE-2025-62164 is rated Moderate Risk (49.5/100): CVSS High severity, with low exploitation likelihood (EPSS 0.19%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-05-01 | 0.09% | 0.19% | +0.10% |
| 2 | 2026-01-18 | 0.30% | 0.09% | -0.20% |
| 3 | 2025-12-16 | — | 0.30% | — |
Full EPSS history (4 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 8.8 | 3.1 | HIGH |
|
2.8 | 5.9 | [email protected] |
GHSA-mrw7-hf4f-83pf · Severity: high · Ecosystem: pip — vLLM deserialization vulnerability leading to DoS and potential RCE
| vendor | priority | summary | link |
|---|---|---|---|
redhat
|
high | — | https://access.redhat.com/security/cve/CVE-2025-62164 |
| URL | Tags |
|---|---|
| https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b | Patch |
| https://github.com/vllm-project/vllm/pull/27204 | Issue Tracking Patch Vendor Advisory |
| https://github.com/vllm-project/vllm/security/advisories/GHSA-mrw7-hf4f-83pf | Issue Tracking Vendor Advisory |