vllm-project vLLM up to 0.25.x mimo_v2_omni.py MiMoV2OmniMultiModalProcessor server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00+ |
Summary
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.
Details
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.
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Product
Type
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB 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): 🔒
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: vLLM 0.26.0
Timeline
08/12/2026 CVE reserved08/17/2026 Advisory disclosed
08/17/2026 VulDB entry created
08/17/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-73560 (🔒)
GCVE (CVE): GCVE-0-2026-73560
GCVE (VulDB): GCVE-100-391415
Entry
Created: 08/17/2026 22:43Changes: 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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