CVE-2026-22807
Essential information
- Published
- 21/01/2026 22:15
- Modified
- 21/01/2026 22:15
- Author
- —
- Creator
- —
- CVSS
- 8.8 HIGH (v3.1)
- CISA KEV
- No
- CWE
- —
- CVSS vector
-
—
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H—
CVSS metrics
- Access vector
- —
- Access complexity
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- Authentication
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- Confidentiality impact
- —
- Integrity impact
- —
- Availability impact
- —
- Exploitability
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- Remediation level
- —
- Report confidence
- —
- Temporal score
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- Attack vector
- NETWORK
- Attack complexity
- LOW
- Privileges required
- NONE
- User interaction
- REQUIRED
- Scope
- UNCHANGED
- Confidentiality impact
- HIGH
- Integrity impact
- HIGH
- Availability impact
- HIGH
- Exploit code maturity
- —
- Remediation level
- —
- Report confidence
- —
- Temporal score
- —
- Attack vector
- —
- Attack complexity
- —
- Attack requirements
- —
- Privileges required
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- User interaction
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- Confidentiality (V)
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- Confidentiality (S)
- —
- Integrity (V)
- —
- Integrity (S)
- —
- Availability (V)
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- Availability (S)
- —
- Exploit maturity
- —
Description
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face `auto_map` dynamic modules during model resolution without gating on `trust_remote_code`, allowing attacker-controlled Python code in a model repo/path to execute at server startup. An attacker who can influence the model repo/path (local directory or remote Hugging Face repo) can achieve arbitrary code execution on the vLLM host during model load. This happens before any request handling and does not require API access. Version 0.14.0 fixes the issue.
NVD status
- Status
- Received — CVE has been recently published to the CVE List and has been received by the NVD.
- Source
- [email protected]
- NVD
- View on NVD
Affected products (CPE)
| Product | CPE |
|---|---|
| vllm / vllm | cpe:2.3:a:vllm:vllm:0.10.1-0.14.0:*:*:*:*:*:*:* |