vllm-project vLLM up to 0.25.x mimo_v2_omni.py MiMoV2OmniMultiModalProcessor server-side request forgery

CVSS Meta Temp Score
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CTI Interest Score
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5.3$0-$5k0.00+

Summaryinfo

A vulnerability has been found in vllm-project vLLM up to 0.25.x and classified as problematic. This affects the function MiMoV2OmniMultiModalProcessor of the file vllm/transformers_utils/processors/mimo_v2_omni.py. The manipulation leads to server-side request forgery. This vulnerability is referenced as CVE-2026-73560. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in vllm-project vLLM up to 0.25.x and classified as problematic. This issue affects the function MiMoV2OmniMultiModalProcessor of the file vllm/transformers_utils/processors/mimo_v2_omni.py. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality. The summary by CVE is:

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.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-73560 since 08/12/2026. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 0.26.0 eliminates this vulnerability.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.5
CNA Vector (GitHub_M): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: vLLM 0.26.0

Timelineinfo

08/12/2026 CVE reserved
08/17/2026 +5 days Advisory disclosed
08/17/2026 +0 days VulDB entry created
08/17/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-73560 (🔒)
GCVE (CVE): GCVE-0-2026-73560
GCVE (VulDB): GCVE-100-391415

Entryinfo

Created: 08/17/2026 22:43
Changes: 08/17/2026 22:43 (66)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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