CVE-2026-105760 · GHSA-58v5-2m8f-94pr
vLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion
- Risk score
- 46/100
- CVSS
- 5.3 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, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pr…
- Affected
- vllm (pip) >= 0.23.0rc2, < 0.30.0
- Fix
- Upgrade vllm to 0.30.0 or later.
- Exploitation
- Public proof of concept
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-2026-105760: VLLM: GLMGA video sampling permits request-driven CPU and memory exhaustion (CVSS 5.3 · 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: Denial of service (CWE-400). 256 other warnings in 30 days
- Same product: Earlier vllm warnings. 15 in the last 90 days
Why it is Yellow
- CVSS 5.3 medium
- Public exploit or proof of concept referenced
- On your watchlist: PyPI
Affected packages
| Package | Ecosystem | Vulnerable | Fixed in |
|---|---|---|---|
| vllm | pip | >= 0.23.0rc2, < 0.30.0 | 0.30.0 |
References
- https://github.com/advisories/GHSA-58v5-2m8f-94pr
- https://github.com/vllm-project/vllm/security/advisories/GHSA-58v5-2m8f-94pr
- https://github.com/vllm-project/vllm/pull/54935
- https://github.com/vllm-project/vllm/commit/8b6de0eb9a09ef53f20cf06bd4d17ee264b9c2a7
- https://github.com/vllm-project/vllm/releases/tag/v0.30.0
- https://github.com/advisories/GHSA-58v5-2m8f-94pr
Original description
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.
Last activity 5 Oct 2026. Patch Forecast updates every hour.