CVE-2026-73560 json
vLLM: SSRF + arbitrary local file read in MiMoV2OmniMultiModalProcessor `_fetch_image` and audio loader bypass MediaConnector protections
published 2026-08-17 2 mo ago modified 2026-10-23 17 d ago also EUVD-2026-60377 , GHSA-4hhp-h66f-j5j7 , PYSEC-2026-3934
- cvss
- 6.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.4%
- EPSS 0.4% chance of exploitation in 30 days, percentile 35%
- public exploits
- 0
- none known
Summary
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.
Patch / fix
- pypi vllm 0.26.0
- vllm-project vllm 0.26.0
- vllm vllm 0.26.0
- python-vllm openSUSE Tumbleweed 0.32.0-1.1
opensuse advisories openSUSE-SU-2026:12185-1
- github.com/vllm-project/vllm@54503ec commit
- github.com/vllm-project/vllm#43117 pull request
- github.com/vllm-project/vllm/releases/tag/v0.26.0 release
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2026-73560 updated cvss 6.5
vllm: vLLM: Server-Side Request Forgery and arbitrary file read via improper media processing
-
Red Hat AI Inference Server rhaii/vllm-tpu-rhel9, rhaiis/vllm-cpu-rhel9, rhaiis/vllm-tpu-rhel9, rhaiis/vllm-cuda-rhel9, rhaiis/vllm-rocm-rhel9, rhaii/vllm-neuron-rhel9, +2 more Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-gaudi-rhel9 Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-gaudi-rhel9, rhoai/odh-kserve-agent-rhel9, rhoai/odh-kserve-router-rhel9, rhoai/odh-llm-d-kv-cache-rhel9, rhoai/odh-kserve-controller-rhel9, rhoai/odh-th-torch-cuda-py312-rhel9, +1 moreaffected: workaround, no fix available “Fix deferred”
-
Red Hat AI Inference Server 3.5 rhaii/vllm-cpu-rhel9 1791473614, rhaii/vllm-cuda-rhel9 1791473631, rhaii/vllm-rocm-rhel9 1791425869, rhaii/vllm-gaudi-rhel9 1791427182, rhaii/vllm-spyre-rhel9 1791818357fixed: vendor fix RHSA-2026:82415
-
Red Hat Enterprise Linux AI 3.5 rhelai3/bootc-cuda-rhel9 1793135861, rhelai3/bootc-rocm-rhel9 1793135863, rhelai3/bootc-aws-cuda-rhel9 1793194817, rhelai3/bootc-gcp-cuda-rhel9 1793194815, rhelai3/disk-image-cuda-rhel9 1793206758, rhelai3/bootc-azure-cuda-rhel9 1793194815, +1 morefixed: vendor fix RHSA-2026:92452
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- no
- Technical impact
- partial
- Assessed
- 2 mo ago
Exploit prediction
0.41% chance of exploitation in the next 30 days, higher than 35% of all scored CVEs (FIRST EPSS, 2026-11-08).
Exploits and checks
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7 referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N |
| GitHub | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N |
| OSV | 3.1 | 6.5 | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vllm | <0.26.0 |
0.26.0 |
Affected products
- vllm-project vllm
Classification
- Weakness
-
- CWE-918 Server-Side Request Forgery
References
-
github.com
/vllm-project/vllm/pull/43117
web, issue-tracking, patch
-
github.com
/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5
web, patch
-
github.com
/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7
exploit, web, mitigation, vendor-advisory
-
github.com
/vllm-project/vllm/releases/tag/v0.26.0
web, release-notes
-
nvd.nist.gov
/vuln/detail/CVE-2026-73560
advisory
-
github.com
/vllm-project/vllm
package
-
pypi.org
/project/vllm
package
-
github.com
/advisories/GHSA-4hhp-h66f-j5j7
advisory
Sources
- CVE List CVE-2026-73560
- GitHub Advisory GHSA-4hhp-h66f-j5j7
- NVD CVE-2026-73560
- OSV PYSEC-2026-3934
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.