CVE-2026-115918

MEDIUM
MEDIUM Priority: 0.02 BB Relevance: 63/100
Published: 2026-10-26 Modified: 2026-10-28 First seen: 2026-10-29 Status: active

Attack Surface

Network Low Complexity No Interaction

CVSS Vector Breakdown

AV: Network
AC: Low
PR: Low
UI: None
S: Unchanged
C: None
I: None
A: High

Description

vLLM is an inference and serving engine for large language models. From 0.16.0 until 0.32.0, the /v1/responses endpoint allows an authenticated caller to place an attacker-controlled template in chat_template_kwargs[chat_template] when no server template is configured. ChatParams.get_apply_chat_template_kwargs() preserves that value without enforcing trust_request_chat_template, so the request can bypass the intended trust policy and cause CPU or memory exhaustion through Jinja rendering. This issue is fixed in version 0.32.0.

Weakness Classification (2)

Affected Software (1)

VendorProductVersion
vllm vllm 0.16.0 – 0.32.0

Bug Bounty Relevance

63 / 100
✓ Network accessible
✓ Low complexity
✓ No user interaction

CVSS Score

6.5 / 10.0 v3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS — Exploitation Probability

0.35%
Raw Score 0.003500
Percentile 28.6%
Date 2026-10-29

EPSS Trend

2026-10-29
0.00350
2026-10-28
0.00324

Intelligence Sources

mitre ref →
nvd ref →