CVE-2026-105757 · GHSA-85xf-c7hm-whqw
vLLM: Structured-output request errors escape the request boundary and terminate the shared EngineCore — engine-fatal denial of service (3 sites)
- Risk score
- 49/100
- CVSS
- 6.5 v3.1
- Exploit chance (30 days)
- 0.3%
- Published
- 5 Oct 2026
Open in the live forecast Today's forecast
What to know
- What it is
- vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculati…
- Affected
- vllm (pip) < 0.30.0
- Fix
- Upgrade vllm to 0.30.0 or later.
- Exploitation
- No known exploitation
Story map
At a glance
Vllm: Amber, patch this week. vLLM versions 0.22.0 through 0.23.0 fail to validate stop_token_ids against vocabulary bounds in Rust HTTP and gRPC frontends, allowing out-of-vocabulary token IDs to reach MinTokensLogitsProcessor. Attackers can submit requests with min_tokens greater than zero and out-of-vocabulary stop_token_ids to trigger CUDA ten…
The flaws
- CVE-2026-105757: VLLM: Structured-output request errors escape the request boundary and terminate the shared EngineCore — engine-fatal denial of service (3 sites) (CVSS 6.5 · EPSS 0%)
- CVE-2026-100652: Improper input validation (CVSS 7.5 · EPSS 0%)
- CVE-2026-105759: VLLM is an inference and serving engine for large language models (CVSS 7.5 · EPSS 0%)
- CVE-2026-103241: Denial of service (CVSS 7.5 · EPSS 1%)
The fix
Upgrade Vllm: 0.30.0 or later on your release line
Who is exposed: Vllm
Where it stands
- Public proof of concept
Connects to
- Same weakness: CWE-248 (CWE-248). 63 other warnings in 30 days
- Same product: Earlier vllm warnings. 15 in the last 90 days
Why it is Yellow
- CVSS 6.5 medium
- On your watchlist: PyPI
Affected packages
| Package | Ecosystem | Vulnerable | Fixed in |
|---|---|---|---|
| vllm | pip | < 0.30.0 | 0.30.0 |
References
- https://github.com/advisories/GHSA-85xf-c7hm-whqw
- https://github.com/vllm-project/vllm/security/advisories/GHSA-85xf-c7hm-whqw
- https://github.com/vllm-project/vllm/pull/51450
- https://github.com/vllm-project/vllm/commit/c55e15a44ec4127832d4a86928a356fdd9e68dbd
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0
- https://github.com/advisories/GHSA-85xf-c7hm-whqw
Original description
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.
Last activity 5 Oct 2026. Patch Forecast updates every hour.