---
cve: "CVE-2026-41523"
severity: "HIGH"
cvss: 7.5
epss: "75%"
vendor: "vllm-project"
kev: false
exploited: false
published: "2026-06-22 23:16:30"
tags: [cve, security, high]
source: tsecurity.de CVE-Dossier
exported: "2026-09-07T09:47:54+02:00"
---

# CVE-2026-41523

> 7.5 HIGH · 🧪 PoC

## Beschreibung

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.

## CVSS-Vektor

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

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

## Patch verfügbar (OSV)

- 0b3ba88f165976e77ca5e6a7a3f5bba4562b80af (Commit)
- b3c7ffcab82c2439726f8cb213800f6f38c023d3 (Commit)

## Referenzen

- <https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r>
- <https://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3>
- <https://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c>
- <https://access.redhat.com/errata/RHSA-2026:36005>
- <https://access.redhat.com/errata/RHSA-2026:36006>
- <https://access.redhat.com/errata/RHSA-2026:57380>
- <https://access.redhat.com/errata/RHSA-2026:57387>
- <https://access.redhat.com/errata/RHSA-2026:57389>
- <https://access.redhat.com/errata/RHSA-2026:57390>
- <https://access.redhat.com/errata/RHSA-2026:59138>
- <https://access.redhat.com/errata/RHSA-2026:59139>
- <https://access.redhat.com/errata/RHSA-2026:59144>

---
_Exportiert aus dem [tsecurity.de CVE-Dossier](https://tsecurity.de/cve?cve=CVE-2026-41523) · Datenquellen: EUVD (ENISA), NVD, OSV, CISA KEV, FIRST EPSS, Exploit-DB, BSI BITS_