MediumVulnerabilityLLM-specific

CVE-2026-116181: vLLM improper input validation of stop_token_ids crashes engine

Source: NVD(opens in a new tab)
Identifier: CVE-2026-116181
Published: October 25, 2026
Record updated: October 25, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.

Summary

vLLM from 0.20.1 before 0.29.0 contains an improper input validation flaw, tracked as CVE-2026-116181. Remote attackers can supply out-of-vocabulary stop_token_ids in OpenAI chat, completion, generate, or batch requests to crash the engine or write outside the V2 runner's logits buffer.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 6.5(medium)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack vector: network
Attack complexity: low
Privileges required: low
User interaction: none
EPSS: Not scored. FIRST had not published an EPSS score for this CVE when it was last checked on October 25, 2026.
Disclosure date: October 25, 2026

Weaknesses and techniques

Weakness (CWE): CWE-129

Classification

Attack type: Denial of service
Attack sophistication: Trivial
AI component targeted: Inference
Impact: Availability,
Integrity
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-116181

First tracked: October 25, 2026 at 02:07 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Topics

Inference infrastructure

Summary

Mitigation

Topics

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