vllm-project vLLM up to 0.25.x OpenAI Entrypoints server_utils.py validation_exception_handler/sanitize_message information disclosure

Summaryinfo

A vulnerability was found in vllm-project vLLM up to 0.25.x. It has been rated as problematic. Affected is the function validation_exception_handler/sanitize_message of the file vllm/entrypoints/openai/server_utils.py of the component OpenAI Entrypoints. This manipulation causes information disclosure. This vulnerability is handled as CVE-2026-73555. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability has been found in vllm-project vLLM up to 0.25.x and classified as problematic. Affected by this vulnerability is the function validation_exception_handler/sanitize_message of the file vllm/entrypoints/openai/server_utils.py of the component OpenAI Entrypoints. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the validation_exception_handler in vllm/entrypoints/openai/server_utils.py converts FastAPI RequestValidationError objects with str(exc), and sanitize_message in vllm/entrypoints/utils.py does not remove traceback-style file paths, allowing unauthenticated malformed JSON requests to /v1/chat/completions, /v1/completions, /tokenize, and /detokenize to disclose the OS username, home and virtual-environment paths, Python version, internal package structure, line numbers, and endpoint handler names. This issue is fixed in version 0.26.0.

The advisory is shared at github.com. This vulnerability is known as CVE-2026-73555 since 08/12/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

Upgrading to version 0.26.0 eliminates this vulnerability.

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Productinfo

Type

• Project Management Software

Vendor

• vllm-project

Name

• vLLM

Version

• 0.1
• 0.2
• 0.3
• 0.4
• 0.5
• 0.6
• 0.7
• 0.8
• 0.9
• 0.10
• 0.11
• 0.12
• 0.13
• 0.14
• 0.15
• 0.16
• 0.17
• 0.18
• 0.19
• 0.20
• 0.21
• 0.22
• 0.23
• 0.24
• 0.25

Website

• Product: https://github.com/vllm-project/vllm/

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CPE 2.2info

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Entryinfo

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