vllm-project vLLM up to 0.30.x API AutoProcessor.from_pretrained code_revision eval injection

CVSS Meta Temp Score
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CTI Interest Score
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7.5$0-$5k1.61

Summaryinfo

A vulnerability described as critical has been identified in vllm-project vLLM up to 0.30.x. Impacted is the function AutoProcessor.from_pretrained of the component API. Such manipulation of the argument code_revision leads to eval injection. This vulnerability is referenced as CVE-2026-114053. It is possible to launch the attack remotely. No exploit is available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability was found in vllm-project vLLM up to 0.30.x. It has been rated as critical. Affected by this issue is the function AutoProcessor.from_pretrained of the component API. The manipulation of the argument code_revision with an unknown input leads to a eval injection vulnerability. Using CWE to declare the problem leads to CWE-95. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before using the input in a dynamic evaluation call (e.g. "eval"). Impacted is confidentiality, integrity, and availability. CVE summarizes:

vLLM from 0.7.3 before 0.31.0 forwards the request-supplied mm_processor_kwargs.code_revision to Transformers AutoProcessor.from_pretrained, letting clients select which revision of a model's dynamic processor code is imported when trust_remote_code is enabled. An attacker controlling a revision in the served model repository can send a multimodal request to the unauthenticated /tokenize endpoint to execute arbitrary Python in the vLLM API process.

The advisory is available at github.com. This vulnerability is handled as CVE-2026-114053 since 10/20/2026. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. Technical details are known, but there is no available exploit.

Upgrading to version 0.31.0 eliminates this vulnerability.

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.7
VulDB Meta Temp Score: 7.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.1
CNA Vector (VulnCheck): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Eval injection
CWE: CWE-95 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: vLLM 0.31.0

Timelineinfo

10/20/2026 CVE reserved
10/21/2026 +1 days Advisory disclosed
10/21/2026 +0 days VulDB entry created
10/21/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-114053 (🔒)
GCVE (CVE): GCVE-0-2026-114053
GCVE (VulDB): GCVE-100-423890

Entryinfo

Created: 10/21/2026 04:26
Changes: 10/21/2026 04:26 (79)
Complete: 🔍
Cache ID: 216::103

If you want to get best quality of vulnerability data, you may have to visit VulDB.

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