CVE-2026-126394: vLLM resource exhaustion vulnerability in OpenCVDynamicOpenPanguVideoBackend
vLLM
vLLM contains a resource exhaustion flaw in the openpangu video backend due to unconstrained num_frames input. Unauthenticated attackers can trigger large allocations that OOM-kill the API server.
why this severityDisclosed vulnerability with a fix and no confirmed exploitation.
disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why
- CVSS
- 6.9
- EPSS
- <0.01 · top 62% · 2026-11-13
- fix status
- Patched
- affected
- vLLM >= 0.30.0, < 0.31.0
- fixed in
- vLLM 0.31.0
- first report
- 13 Nov 2026
- last update
- 13 Nov 2026
- CVE ids
What to do
Update vLLM to version 0.31.0 or later.
Timeline · 1
Sources · 1
Advisories and databases
- 2026-11-13CVE-2026-126394: vLLM 0.30.0 before 0.31.0 contains a resource exhaustion vulnerability in OpenCVDynamicOpenPanguVideoBackend, which uses…NVD · nvd.nist.gov/vuln/detail/CVE-2026-126394
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Patch now
- AI role
- Attack on AI
- categories
- Infrastructure vulnerability
- severity
- 2 · Disclosed vulnerability
- fix status
- Patched
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- no technique for these categories
- dates
- happened 13 Nov 2026 · first reported 13 Nov 2026
- origin
- NVDVulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
- record
- confidence 0.95 · created 2026-11-13 11:16Z · updated 2026-11-13 11:16Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
Copy a brief
This record as a short Markdown brief, for a ticket, a chat or a coding agent.
the brief as text
# CVE-2026-126394: vLLM resource exhaustion vulnerability in OpenCVDynamicOpenPanguVideoBackend https://gcdradar.vercel.app/incidents/cve-2026-126394-vllm-resource-exhaustion-vulnerability-in-op · AIR-2026-1946 · closed 2026-11-13 - Lane: Patch now - Severity: 2 (Disclosed vulnerability): Disclosed vulnerability with a fix and no confirmed exploitation. - Fix status: Patched - First reported: 2026-11-13 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-126394 - CVSS: 6.9 ## Summary vLLM contains a resource exhaustion flaw in the openpangu video backend due to unconstrained num_frames input. Unauthenticated attackers can trigger large allocations that OOM-kill the API server. ## What to do Update vLLM to version 0.31.0 or later. ## Affected and fixed versions - Affected: vLLM >= 0.30.0, < 0.31.0 - Fixed in: vLLM 0.31.0 ## Latest updates - 2026-11-13: CVE-2026-126394: vLLM 0.30.0 before 0.31.0 contains a resource exhaustion vulnerability in OpenCVDynamicOpenPanguVideoBackend, which uses… (https://nvd.nist.gov/vuln/detail/CVE-2026-126394) ## Sources - 2026-11-13 NVD: CVE-2026-126394: vLLM 0.30.0 before 0.31.0 contains a resource exhaustion vulnerability in OpenCVDynamicOpenPanguVideoBackend, which uses… https://nvd.nist.gov/vuln/detail/CVE-2026-126394 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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AI