CVE-2026-27893: vLLM Hardcoded Trust Override Enables RCE
vLLM
Specific model implementation files in vLLM hardcoded trust parameters that bypassed user opt-out configurations, permitting remote code execution via untrusted model repositories. Patches were developed to respect security constraints.
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 28% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 27 Mar 2026
- last update
- 27 Mar 2026
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2026-03-27CVE-2026-27893: vLLM has Hardcoded Trust Override in Model Files Enables RCE Despite Explicit User Opt-OutGitHub Advisory Database · github.com/advisories/GHSA-7972-pg2x-xr59
- 2026-03-27CVE-2026-27893: vLLM is an inference and serving engine for large language models (LLMs).NVD · nvd.nist.gov/vuln/detail/CVE-2026-27893
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 vulnerabilitySupply chain
- severity
- 2 · Disclosed vulnerability
- fix status
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- AML.T0010 AI Supply Chain Compromise
- dates
- happened 27 Mar 2026 · first reported 27 Mar 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-2026-27893: vLLM Hardcoded Trust Override Enables RCE https://gcdradar.vercel.app/incidents/cve-2026-27893-vllm-hardcoded-trust-override-enables-rce · AIR-2026-0529 · closed 2026-03-27 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-03-27 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-27893 - CVSS: 8.8 ## Summary Specific model implementation files in vLLM hardcoded trust parameters that bypassed user opt-out configurations, permitting remote code execution via untrusted model repositories. Patches were developed to respect security constraints. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-03-27: CVE-2026-27893: vLLM is an inference and serving engine for large language models (LLMs). (https://nvd.nist.gov/vuln/detail/CVE-2026-27893) - 2026-03-27: CVE-2026-27893: vLLM has Hardcoded Trust Override in Model Files Enables RCE Despite Explicit User Opt-Out (https://github.com/advisories/GHSA-7972-pg2x-xr59) ## Sources - 2026-03-27 GitHub Advisory Database: CVE-2026-27893: vLLM has Hardcoded Trust Override in Model Files Enables RCE Despite Explicit User Opt-Out https://github.com/advisories/GHSA-7972-pg2x-xr59 - 2026-03-27 NVD: CVE-2026-27893: vLLM is an inference and serving engine for large language models (LLMs). https://nvd.nist.gov/vuln/detail/CVE-2026-27893 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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