> CVE-2025-62164 [HIGH]

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PUBLISHED
2025-11-21 02:15
MODIFIED
2025-11-21 02:15
CVSS_SCORE V3
8.8
EPSS (Prob. Exploit)
0.96%
Top 38.6%
DATA SOURCES:
NVD 🔗 2025-11-21 CVE PROJECT 🔗 2026-01-19 CWE MITRE 🔗 2026-11-01 FIRST EPSS 🔗 2026-10-25 GITHUB 🔗 2026-10-28

> DESCRIPTION

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.

> AFFECTED_PRODUCTS

ℹ️ Aucun produit affecté n'a encore été publié par NVD pour cette CVE.

> CVSS V3 METRICS

CVSS_VECTOR
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EXPLOITABILITY
2.8
IMPACT
5.9

> MÉTRIQUES CVSS DÉTAILLÉES

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Métrique Valeur Interprétation
AV (Vecteur d'Attaque)
Attack Vector
Network (N)
Exploit possible à distance via réseau (HTTP, API, etc.)
AC (Complexité d'Attaque)
Attack Complexity
Low (L)
Peu de conditions requises pour exploiter
PR (Privilèges Requis)
Privileges Required
Low (L)
Authentifié avec compte utilisateur basique
UI (Interaction Utilisateur)
User Interaction
None (N)
Aucune interaction utilisateur nécessaire
S (Périmètre)
Scope
Unchanged (U)
Impact reste dans le périmètre du composant compromis
C (Impact Confidentialité)
Confidentiality Impact
High (H)
Divulgation totale d'informations
I (Impact Intégrité)
Integrity Impact
High (H)
Modification totale des données possible
A (Impact Disponibilité)
Availability Impact
High (H)
Interruption totale du service possible

> RÉSUMÉ DES IMPACTS

Confidentialité
High
Divulgation totale d'informations
Intégrité
High
Modification totale des données possible
Disponibilité
High
Interruption totale du service possible

> WEAKNESSES

CWE-20 CWE-123 CWE-502 CWE-787

> CWE DETAILED DESCRIPTIONS

CWE-20: Improper Input Validation - The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. | CWE-123: Write-what-where Condition - Any condition where the attacker has the ability to write an arbitrary value to an arbitrary location, often as the result of a buffer overflow. | CWE-502: Deserialization of Untrusted Data - The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. | CWE-787: Out-of-bounds Write - The product writes data past the end, or before the beginning, of the intended buffer.

> RED HAT SECURITY ADVISORIES

Red Hat Security Advisory: RHOAI 2.25.1 - Red Hat OpenShift AI
Updated images are now available for Red Hat OpenShift AI.
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.5 (ROCm)
Red Hat AI Inference Server 3.2.5 (ROCm) is now available.
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.5 (TPU)
Red Hat AI Inference Server 3.2.5 (TPU) is now available.
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.5 (ROCm)
Red Hat AI Inference Server 3.2.5 (ROCm) is now available.
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.5 (CUDA)
Red Hat AI Inference Server 3.2.5 (CUDA) is now available.
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (ROCm)
Red Hat AI Inference Server 3.2.2 (ROCm) is now available.
Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (CUDA)
Red Hat AI Inference Server 3.2.2 (CUDA) is now available.
Red Hat Security Advisory: RHOAI 3.3 - Red Hat OpenShift AI
Updated images are now available for Red Hat OpenShift AI.
Red Hat Security Advisory: RHOAI 3.3.3 - Red Hat OpenShift AI
Updated images are now available for Red Hat OpenShift AI.
Red Hat Security Advisory: Red Hat AI Inference Server 3.3.5 (Spyre)
Red Hat AI Inference Server 3.3.5 (Spyre) is now available.

> GITHUB SECURITY ADVISORY

GHSA-mrw7-hf4f-83pf HIGH

vLLM deserialization vulnerability leading to DoS and potential RCE

AFFECTED PACKAGES:
PIP / vllm
>= 0.10.2, < 0.11.1
Fixed in: 0.11.1

> HISTORIQUE DES MODIFICATIONS

Première apparition
21/11/2025 02:15
Source: NVD
📊 ENRICHISSEMENT 19/01/2026 17:37
CVEPROJECT
Champ modifié: CVE Project
Ancienne valeur:
Non
Nouvelle valeur:
Oui
📊 ENRICHISSEMENT 01/12/2025 06:01
CWE
Champ modifié: Description CWE
Ancienne valeur:
N/A
Nouvelle valeur:
CWE-20: Improper Input Validation - The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process...
Total des modifications: 2 Dernière mise à jour: 9 months ago

> REFERENCES

https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9...
https://github.com/vllm-project/vllm/pull/27204
https://github.com/vllm-project/vllm/security/advisories/GHSA-mrw7-hf4f-83pf
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