vLLM Hardcoded Trust Remote Code Parameter Leads to RCE
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerabilitySupply chain
Version 0.14.1 of vLLM contains a vulnerability where the trust_remote_code parameter is hardcoded for specific models, bypassing user configuration settings. This enables remote code execution through malicious HuggingFace model repositories.
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 AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Infrastructure vulnerabilityprimaryCVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
- Supply chainMalicious or backdoored models, poisoned packages, unsafe deserialization and other compromised AI dependencies.
- Infrastructure vulnerabilityprimary
- 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 vulnerabilityCVE or vendor advisory, patched or patchable, no confirmed exploitation.
- targets
- Framework / tooling
- products
- vllm
- incident date
- 28 May 2026
- first reported
- 28 May 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.
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- CVE-2026-4944 · rce · supply_chain
- record
- created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json
Sources · 1
- 2026-05-28CVE-2026-4944: vllm-project/vllm version 0.14.1 contains a vulnerability where the `trust_remote_code=True` parameter is hardcoded in two model…NVD · nvd.nist.gov/vuln/detail/CVE-2026-4944
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
Related incidents
- 2026-06-22CVE-2026-54232: Dependency confusion flaw in vLLM Dockerfile2 Disclosedon AIInfra vulnSupply chain1 src
- 2026-06-16CVE-2026-41523: vLLM Security Check Bypass via assert Statement2 Disclosedon AIInfra vulnSupply chain2 src
- 2026-06-10CVE-2026-47155: vLLM artifact pin decay allows loading unpinned code and weights2 Disclosedon AIInfra vulnSupply chain2 src
- 2026-05-22CVE-2026-5817: Docker Model Runner vllm-metal arbitrary code execution vulnerability2 Disclosedon AIInfra vulnSupply chain1 src
- 2026-05-12CVE-2026-31233: Guardrails AI code injection in Hub installer2 Disclosedon AISupply chainInfra vuln1 src
- 2026-05-08CVE-2026-44843: LangChain vulnerable to unsafe deserialization2 Disclosedon AIInfra vulnSupply chain2 src