CVE-2025-62426

MEDIUMPre-NVD 6.56.5
EchelonGraph scoreMEDIUM confidence

This medium-severity CVE scores 6.5 under a secondary CVSS source (NVD's own analysis pending). EPSS exploit probability: 0.4%, top 72% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).

Triggered by: NVD CVSS baseline
Sources: epss, secondary
6.5EG
EchelonGraph verdictMonitorLow exploitation likelihood right now — keep watching.
  • Lower severity and no public exploit yet
CISA-KEV: Not listedEPSS PROB: 0%CVSS: 6.5Exploit: None knownExposed: 0

A fix is available — apply it.

vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1.

CVSS v3
6.5
EG Score
6.5(medium)
EG Risk
29(Track)
EG Risk 29/100SSVC: Track

EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).

How it’s computed
Severity65% × 45%
Exploitation0% × 40%
Automatability0% × 15%
Action: Routine — remediate on your standard cadence.
EPSS PROB
0%
EPSS %ILE
31%
KEV
Not listed

Published

November 21, 2025

Last Modified

June 17, 2026

Advisory Details (5)

Auto-updated Aug 8, 2026
Patch available. Sources: github, github_commit, github_pr.
github Patch Available

DoS via large Chat Completion or Tokenization requests with specially crafted `chat_template_kwargs` · Advisory · vllm-project/vllm · GitHub

https://github.com/vllm-project/vllm/security/advisories/GHSA-69j4-grxj-j64p
github_pr

[Frontend] Enforce tokenize=False when applying chat template

Fix merged in vllm-project/vllm PR #27205 on 2025-10-21 — awaiting tagged release

https://github.com/vllm-project/vllm/pull/27205
github_commit

commit 3ada34f9cb4d (vllm-project/vllm)

Fix landed in vllm-project/vllm commit 3ada34f9cb4d — awaiting tagged release

https://github.com/vllm-project/vllm/commit/3ada34f9cb4d1af763fdfa3b481862a93eb6bd2b
generic

vllm/vllm/entrypoints/openai/serving_engine.py at 2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb · vllm-project/vllm · GitHub

https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/openai/serving_engine.py#L809-L814
generic

vllm/vllm/entrypoints/chat_utils.py at 2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb · vllm-project/vllm · GitHub

https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/chat_utils.py#L1602-L1610

Patch Availability(2)

Vendor / EcosystemFixed in / PatchReleasedSource
redhatrhaiis/vllm-cuda-rhel9:17721605932026-02-27redhat
redhatrhaiis/vllm-rocm-rhel9:17721606252026-02-27redhat

Patches are aggregated from vendor advisories (Red Hat, Microsoft, Cisco, GitHub) and package ecosystems (OSV, GHSA). Multiple rows for the same upstream release have been deduplicated.

Affected Packages

(1 across 1 ecosystem)
PyPI(1)
PackageVulnerable rangeFixed inDependents
vllm0.10.0 ... 0.9.2 (33 versions)0.11.1

Weakness Classification(1)

MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.

Data Freshness Timeline

(refreshed 7× in last 7d / 27× in last 30d)

Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.

Showing the most recent 100 of 150 total refreshes for this CVE.

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Frequently asked(5)

What is CVE-2025-62426?
CVE-2025-62426 is a medium vulnerability published on November 21, 2025. vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chattemplatekwargs request parameter that is used in the code before it is properly validated against the chat template. With the…
When was CVE-2025-62426 disclosed?
CVE-2025-62426 was first published in the National Vulnerability Database on November 21, 2025, with the most recent update on June 17, 2026. EchelonGraph re-ingests CVE updates from NVD on a 2-hour cycle, so this page reflects the latest published state.
Is CVE-2025-62426 actively exploited?
CVE-2025-62426 is not currently on CISA's Known Exploited Vulnerabilities catalog. FIRST EPSS estimates a 0% probability of exploitation in the next 30 days, which ranks it in the top 69.4% of all scored CVEs.
What is the CVSS score of CVE-2025-62426?
CVE-2025-62426 has a CVSS v3 base score of 6.5 (NVD).
How do I remediate CVE-2025-62426?
Patch to the fixed version published by the affected vendor. Where vendor advisories exist for CVE-2025-62426, EchelonGraph cross-links them in the Vendor Advisories panel below — those typically contain the canonical remediation steps, fixed version numbers, and any vendor-specific mitigations.

Dependency Blast Radius

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