GCD AI RADAR
incidents/AIR-2026-0529

CVE-2026-27893: vLLM Hardcoded Trust Override Enables RCE

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilitySupply chain

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

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Infrastructure vulnerabilityprimary
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
  • Supply chain
    Malicious or backdoored models, poisoned packages, unsafe deserialization and other compromised AI dependencies.
owasp llm top 10
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
2 · Disclosed vulnerability
CVE or vendor advisory, patched or patchable, no confirmed exploitation.
targets
Framework / tooling
products
vLLM
incident date
27 Mar 2026
first reported
27 Mar 2026
origin
GitHub Advisory Database
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
CVE-2026-27893 · vllm · rce
record
created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json

Sources · 2

  1. 2026-03-27
    CVE-2026-27893: vLLM has Hardcoded Trust Override in Model Files Enables RCE Despite Explicit User Opt-Out
    GitHub Advisory Database · github.com/advisories/GHSA-7972-pg2x-xr59
  2. 2026-03-27
    CVE-2026-27893: vLLM is an inference and serving engine for large language models (LLMs).
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-27893

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