CVE-2026-73560
CVE-2026-73560 · vLLM: SSRF + arbitrary local file read in MiMoV2OmniMultiModalProcessor `_fetch_image` and audio loader bypass MediaConnector protections
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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.
CVSS 6.5 · Mittel · EPSS 0,4% · Korrektur verfügbar
- Veröffentlicht
- Aktualisiert
Technologie-Stack: python
Betroffene Produkte und Versionen
vllm
- Softwareversionen
- < 0.26.0: Betroffen
Keine Korrektur veröffentlicht
vllm PyPI
- Softwareversionen
- 0.0.1
- 0.1.0
- 0.1.1
- 0.1.2
- 0.1.3
- 0.1.4
- 0.1.5
- 0.1.6
- 0.1.7
- 0.10.0
- 0.10.1
- 0.10.1.1
- 0.10.2
- 0.11.0
- 0.11.1
- 0.11.2
- 0.12.0
- 0.13.0
- 0.14.0
- 0.14.1
- 0.15.0
- 0.15.1
- 0.16.0
- 0.17.0
- 0.17.1
- 0.18.0
- 0.18.1
- 0.19.0
- 0.19.1
- 0.2.0
- 0.2.1
- 0.2.1.post1
- 0.2.2
- 0.2.3
- 0.2.4
- 0.2.5
- 0.2.6
- 0.2.7
- 0.20.0
- 0.20.1
- 0.20.2
- 0.21.0
- 0.22.0
- 0.22.1
- 0.23.0
- 0.24.0
- 0.25.0
- 0.25.1
- 0.3.0
- 0.3.1
- 0.3.2
- 0.3.3
- 0.4.0
- 0.4.0.post1
- 0.4.1
- 0.4.2
- 0.4.3
- 0.5.0
- 0.5.0.post1
- 0.5.1
- 0.5.2
- 0.5.3
- 0.5.3.post1
- 0.5.4
- 0.5.5
- 0.6.0
- 0.6.1
- 0.6.1.post1
- 0.6.1.post2
- 0.6.2
- 0.6.3
- 0.6.3.post1
- 0.6.4
- 0.6.4.post1
- 0.6.5
- 0.6.6
- 0.6.6.post1
- 0.7.0
- 0.7.1
- 0.7.2
- 0.7.3
- 0.8.0
- 0.8.1
- 0.8.2
- 0.8.3
- 0.8.4
- 0.8.5
- 0.8.5.post1
- 0.9.0
- 0.9.0.1
- 0.9.1
- 0.9.2
- Betroffene Versionsbereiche
- ECOSYSTEM: < 0.26.0
Auf 0.26.0 aktualisieren
Originalquellen
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7
- https://github.com/vllm-project/vllm/pull/43117
- https://github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5
- https://github.com/vllm-project/vllm/releases/tag/v0.26.0
- https://nvd.nist.gov/vuln/detail/CVE-2026-73560