vLLM denial of service via prompt embeds on M-RoPE models
vLLM
Sending a pure prompt embeds payload in completion requests to vLLM models using M-RoPE causes an assertion failure. This flaw triggers a fatal crash that shuts down the entire inference server application.
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
- 7.1
- EPSS
- 0.01 · top 48% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 6 Jul 2026
- last update
- 20 Jul 2026
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2026-07-06CVE-2026-55514: vLLM is a library for LLM inference and serving.NVD · nvd.nist.gov/vuln/detail/CVE-2026-55514
- 2026-07-20CVE-2026-55514: vLLM denial of service via prompt embeds on M-RoPE modelsGitHub Advisory Database · github.com/advisories/GHSA-33cg-gxv8-3p8g
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
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- no technique for these categories
- dates
- happened 20 Jul 2026 · first reported 6 Jul 2026
- origin
- GitHub Advisory DatabaseVulnerability 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 2026-10-18 07:00Z · updated 2026-10-18 10:04Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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the brief as text
# vLLM denial of service via prompt embeds on M-RoPE models https://gcdradar.vercel.app/incidents/vllm-denial-of-service-via-prompt-embeds-on-m-rope-models · AIR-2026-0813 · closed 2026-07-06 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-07-06 (happened 2026-07-20) - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-55514 - CVSS: 7.1 ## Summary Sending a pure prompt embeds payload in completion requests to vLLM models using M-RoPE causes an assertion failure. This flaw triggers a fatal crash that shuts down the entire inference server application. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-07-20: CVE-2026-55514: vLLM denial of service via prompt embeds on M-RoPE models (https://github.com/advisories/GHSA-33cg-gxv8-3p8g) - 2026-07-06: CVE-2026-55514: vLLM is a library for LLM inference and serving. (https://nvd.nist.gov/vuln/detail/CVE-2026-55514) ## Sources - 2026-07-06 NVD: CVE-2026-55514: vLLM is a library for LLM inference and serving. https://nvd.nist.gov/vuln/detail/CVE-2026-55514 - 2026-07-20 GitHub Advisory Database: CVE-2026-55514: vLLM denial of service via prompt embeds on M-RoPE models https://github.com/advisories/GHSA-33cg-gxv8-3p8g Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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