CVE-2026-73560
vLLM: SSRF + arbitrary local file read in MiMoV2OmniMultiModalProcessor `_fetch_image` and audio loader bypass MediaConnector protections
Description
vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the MiMoV2OmniMultiModalProcessor in vllm/transformers_utils/processors/mimo_v2_omni.py passes attacker-controlled image and audio strings through _fetch_image, requests.get, and Image.open instead of MediaConnector, bypassing allowed_media_domains and allowed_local_media_path protections and allowing server-side requests and reads of arbitrary files accessible to the vLLM process. This issue is fixed in version 0.26.0.
INFO
Published Date :
Aug. 17, 2026, 9:16 p.m.
Last Modified :
Oct. 23, 2026, 4:10 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS | 134c704f-9b21-4f2e-91b3-4a467353bcc0 | |||||
| CVSS 3.1 | MEDIUM | [email protected] | ||||
| CVSS 3.1 | MEDIUM | MITRE-CVE |
Solution
- Update vLLM to version 0.26.0 or later.
- Ensure image and audio inputs are validated.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2026-73560.
| URL | Resource |
|---|---|
| https://github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5 | Patch |
| https://github.com/vllm-project/vllm/pull/43117 | Issue Tracking Patch |
| https://github.com/vllm-project/vllm/releases/tag/v0.26.0 | Release Notes |
| https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7 | Mitigation Vendor Advisory |
| https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7 | Mitigation Vendor Advisory |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2026-73560 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2026-73560
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2026-73560 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2026-73560 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Translated by [email protected]
Oct. 23, 2026
Action Type Old Value New Value Added Translation Title: vllm de vllm-project, Description: vLLM es un motor de inferencia y servicio para grandes modelos de lenguaje. Antes de la versión 0.26.0, el MiMoV2OmniMultiModalProcessor en vllm/transformers_utils/processors/mimo_v2_omni.py pasa cadenas de imagen y audio controladas por el atacante a través de _fetch_image, requests.get e Image.open en lugar de MediaConnector, eludiendo las protecciones de allowed_media_domains y allowed_local_media_path y permitiendo solicitudes del lado del servidor y lecturas de archivos arbitrarios accesibles al proceso de vLLM. Este problema se solucionó en la versión 0.26.0. -
Initial Analysis by [email protected]
Sep. 28, 2026
Action Type Old Value New Value Added CPE Configuration OR *cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* versions up to (excluding) 0.26.0 Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5 Types: Patch Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/pull/43117 Types: Issue Tracking, Patch Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/releases/tag/v0.26.0 Types: Release Notes Added Reference Type CISA-ADP: https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7 Types: Mitigation, Vendor Advisory Added Reference Type GitHub, Inc.: https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7 Types: Mitigation, Vendor Advisory -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Aug. 18, 2026
Action Type Old Value New Value Added Reference https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7 Added SSVC {'id': 'CVE-2026-73560', 'role': 'CISA Coordinator', 'options': [{'exploitation': 'poc'}, {'automatable': 'no'}, {'technicalImpact': 'partial'}], 'version': '2.0.3', 'timestamp': '2026-08-18T16:00:28.999546Z'} -
New CVE Received by [email protected]
Aug. 17, 2026
Action Type Old Value New Value Added Affected [{'vendor': 'vllm-project', 'product': 'vllm', 'versions': [{'status': 'affected', 'version': '< 0.26.0'}]}] Added Description vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the MiMoV2OmniMultiModalProcessor in vllm/transformers_utils/processors/mimo_v2_omni.py passes attacker-controlled image and audio strings through _fetch_image, requests.get, and Image.open instead of MediaConnector, bypassing allowed_media_domains and allowed_local_media_path protections and allowing server-side requests and reads of arbitrary files accessible to the vLLM process. This issue is fixed in version 0.26.0. Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N Added CWE CWE-918 Added Reference https://github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5 Added Reference https://github.com/vllm-project/vllm/pull/43117 Added Reference https://github.com/vllm-project/vllm/releases/tag/v0.26.0 Added Reference https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7