CVE-2026-27893
HIGH
8,8
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high
Description
AI Translation Available
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.
EPSS (Exploit Prediction Scoring System)
Trend Analysis
EPSS (Exploit Prediction Scoring System)
Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.
EPSS Score
0,0003
Percentile
0,1th
Updated
Single Data Point
Only one EPSS measurement is available for this CVE. Trend analysis requires multiple data points over time.
693
Protection Mechanism Failure
DraftCommon Consequences
Security Scopes Affected:
Access Control
Potential Impacts:
Bypass Protection Mechanism
Applicable Platforms
Technologies:
Not Technology-Specific, ICS/OT
https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011…
https://github.com/vllm-project/vllm/pull/36192
https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59