Advisory details:
pypa / vllm/PYSEC-2026-2297
| Advisory ID | pypa/vllm/PYSEC-2026-2297 |
| Aliases |
CVE-2026-27893
GHSA-7972-pg2x-xr59 PYSEC-2026-2297 |
| Summary | 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. |
| Status | Published |
| Exploitability | 0.5 |
| Weighted Severity | 7.9 |
| Risk | 4.0 |
| Affected and Fixed Packages | Package Details |
| Introduced and Fixed Package Commit Patches | Package Commit Patches Details |
| There are no known CWE. |
| System | Score | Found at |
|---|---|---|
| cvssv3.1 | 8.8 | https://github.com/pypa/advisory-database/blob/main/vulns/vllm/PYSEC-2026-2297.yaml |
No EPSS data available for this advisory.
| Patch URL | |
|---|---|
| There are no known patches. | |
| Attack Vector (AV) | Attack Complexity (AC) | Privileges Required (PR) | User Interaction (UI) | Scope (S) | Confidentiality Impact (C) | Integrity Impact (I) | Availability Impact (A) |
|---|---|---|---|---|---|---|---|
network adjacent_network local physical |
low high |
none low high |
none required |
unchanged changed |
high low none |
high low none |
high low none |
Vector: SSVCv2/E:N/A:N/T:T/P:M/B:A/M:M/D:T/2026-03-27T13:26:41Z/
Decision: Track
Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2026/27xxx/CVE-2026-27893.json
Source Advisory: vulnrichment/CVE-2026-27893
[{'Exploitation': 'none'},
{'Automatable': 'no'},
{'Technical Impact': 'total'},
{'Mission Prevalence': 'minimal'},
{'Public Well-being Impact': 'material'},
{'Mission & Well-being': 'medium'}]