---
cve: "CVE-2025-62164"
severity: "HIGH"
cvss: 8.8
epss: "92%"
vendor: "vllm-project"
kev: false
exploited: false
published: "2025-11-21 02:15:43"
tags: [cve, security, high]
source: tsecurity.de CVE-Dossier
exported: "2026-09-07T11:34:22+02:00"
---

# CVE-2025-62164

> 8.8 HIGH · 🧪 PoC

## Beschreibung

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.

## CVSS-Vektor

```
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
```

| Metrik | Wert | Bewertung |
|---|---|---|
| AV Angriffsvektor | Netzwerk | bad |
| AC Komplexität | Gering | bad |
| PR Privilegien | Gering | warn |
| UI Interaktion | Keine | bad |
| S Scope | Unverändert | good |
| C Vertraulichkeit | Hoch | bad |
| I Integrität | Hoch | bad |
| A Verfügbarkeit | Hoch | bad |

## Patch verfügbar (OSV)

- 439368496db48d8f992ba8c606a0c0b1eebbfa69 (Commit)
- 58fab50d82838d5014f4a14d991fdb9352c9c84b (Commit)

## Referenzen

- <https://github.com/vllm-project/vllm/security/advisories/GHSA-mrw7-hf4f-83pf>
- <https://github.com/vllm-project/vllm/pull/27204>
- <https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b>

---
_Exportiert aus dem [tsecurity.de CVE-Dossier](https://tsecurity.de/cve?cve=CVE-2025-62164) · Datenquellen: EUVD (ENISA), NVD, OSV, CISA KEV, FIRST EPSS, Exploit-DB, BSI BITS_