CVE-2026-22807: vLLM RCE via auto_map Dynamic Module Loading
vLLM
vLLM loads Hugging Face auto_map dynamic modules without gating on trust_remote_code, allowing arbitrary code execution at server startup. The vulnerability can be exploited by influencing the model repository path.
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
- 8.8
- EPSS
- 0.01 · top 38% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 21 Jan 2026
- last update
- 21 Jan 2026
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2026-01-21CVE-2026-22807: vLLM affected by RCE via auto_map dynamic module loading during model initializationGitHub Advisory Database · github.com/advisories/GHSA-2pc9-4j83-qjmr
- 2026-01-21CVE-2026-22807: vLLM is an inference and serving engine for large language models (LLMs).NVD · nvd.nist.gov/vuln/detail/CVE-2026-22807
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
- tags
- rce
- dates
- happened 21 Jan 2026 · first reported 21 Jan 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
# CVE-2026-22807: vLLM RCE via auto_map Dynamic Module Loading https://gcdradar.vercel.app/incidents/cve-2026-22807-vllm-rce-via-auto-map-dynamic-module-loading · AIR-2026-0437 · closed 2026-01-21 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-01-21 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-22807 - CVSS: 8.8 ## Summary vLLM loads Hugging Face auto_map dynamic modules without gating on trust_remote_code, allowing arbitrary code execution at server startup. The vulnerability can be exploited by influencing the model repository path. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-01-21: CVE-2026-22807: vLLM is an inference and serving engine for large language models (LLMs). (https://nvd.nist.gov/vuln/detail/CVE-2026-22807) - 2026-01-21: CVE-2026-22807: vLLM affected by RCE via auto_map dynamic module loading during model initialization (https://github.com/advisories/GHSA-2pc9-4j83-qjmr) ## Sources - 2026-01-21 GitHub Advisory Database: CVE-2026-22807: vLLM affected by RCE via auto_map dynamic module loading during model initialization https://github.com/advisories/GHSA-2pc9-4j83-qjmr - 2026-01-21 NVD: CVE-2026-22807: vLLM is an inference and serving engine for large language models (LLMs). https://nvd.nist.gov/vuln/detail/CVE-2026-22807 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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