vllm-project vLLM up to 0.31.x Chat Template Rendering tokenizer.apply_chat_template iteration

CVSS Meta Temp Score
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CTI Interest Score
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6.3$0-$5k1.22+

Summaryinfo

A vulnerability has been found in vllm-project vLLM up to 0.31.x and classified as critical. Impacted is the function tokenizer.apply_chat_template of the component Chat Template Rendering. This manipulation causes iteration. This vulnerability is handled as CVE-2026-115911. The attack can be initiated remotely. There is not any exploit available. The affected component should be upgraded.

Detailsinfo

A vulnerability has been found in vllm-project vLLM up to 0.31.x and classified as critical. Affected by this vulnerability is the function tokenizer.apply_chat_template of the component Chat Template Rendering. The manipulation with an unknown input leads to a iteration vulnerability. The CWE definition for the vulnerability is CWE-834. The product performs an iteration or loop without sufficiently limiting the number of times that the loop is executed. As an impact it is known to affect availability. The summary by CVE is:

vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.32.0, authenticated callers can supply a request chat template when no server-side --chat-template is configured, or a malicious model repository can provide a template that is compiled and rendered by tokenizer.apply_chat_template() without a wall-clock timeout, output-size limit, or iteration bound. Rendering runs in a ThreadPoolExecutor with one worker by default, so a nonterminating render can block /v1/responses and other chat-template users after the request ends, while an output-expanding render can exhaust server memory. Harmony models are not affected because they do not use this Jinja path. This issue is fixed in version 0.32.0.

The advisory is shared at github.com. This vulnerability is known as CVE-2026-115911 since 10/23/2026. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.

Upgrading to version 0.32.0 eliminates this vulnerability.

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Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.3

VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.5
CNA Vector (GitHub_M): 🔒

CVSSv2info

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

Exploitinginfo

Class: Iteration
CWE: CWE-834 / CWE-404
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 0.32.0

Timelineinfo

10/23/2026 CVE reserved
10/26/2026 +3 days Advisory disclosed
10/26/2026 +0 days VulDB entry created
10/26/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-115911 (🔒)
GCVE (CVE): GCVE-0-2026-115911
GCVE (VulDB): GCVE-100-426541

Entryinfo

Created: 10/26/2026 18:08
Changes: 10/26/2026 18:08 (66)
Complete: 🔍
Cache ID: 216::103

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