SSRF (Server-Side Request Forgery) in vllm (CVE-2026-73560)
Summary
SSRF in vllm (CVE-2026-73560). Confidential information can be exposed externally. Exploitable via MiMoV2OmniForCausalLM. Mitigation: upgrade to 0.26.0 or later.
Original description
The description as published by the source.
Summary
vllm/transformers_utils/processors/mimo_v2_omni.py — the multimodal processor for MiMoV2OmniForCausalLM — issues requests.get(...) directly on user-supplied image and audio URL strings and Image.open(...) on user-supplied local paths, without the SSRF / allowed_local_media_path checks that vllm.multimodal.utils.MediaConnector was hardened with in GHSA-qh4c-xf7m-gxfc, GHSA-v359-jj2v-j536, and GHSA-pf3h-qjgv-vcpr.
This is the same bug class as those three published advisories, in a code path the patches missed. When a user passes a URL or local-file string through multi_modal_data (e.g. LLM.generate(multi_modal_data={"image": "http://..."})), the processor takes the unsanitized string and dispatches it without any URL-scheme allowlist, network-target allowlist, size cap, or local-path allowlist.
Details
File: vllm/transformers_utils/processors/mimo_v2_omni.py (current main)
Sink 1 — image SSRF + local-file read (_fetch_image, lines 231–249):
def _fetch_image(src: Any) -> Image.Image:
if isinstance(src, Image.Image):
return _to_rgb(src)
if isinstance(src, bytes):
return _to_rgb(copy.deepcopy(Image.open(BytesIO(src))))
if isinstance(src, str):
if src.startswith(("http://", "https://")):
r = requests.get(src, timeout=30) # SSRF: no allowlist, follows redirects
r.raise_for_status()
return _to_rgb(copy.deepcopy(Image.open(…
Source: NIST National Vulnerability Database NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-73560 has been found in vllm.
Attackers can target a specific entry point like MiMoV2OmniForCausalLM over the network to misuse the product.
Confidential information can be exposed externally. CVSS score: 6.5/10.
What to do: upgrade vllm to 0.26.0 or later.
If unsure, ask your IT team or search "vllm CVE-2026-73560" on the vendor's site.
CVE-2026-73560 (vllm) — CWE-918 / CVSS v3 6.5
Attack vector: remote (network-reachable) / no user interaction
Attack surface: MiMoV2OmniForCausalLM / allowed_local_media_path / vllm.multimodal.utils.MediaConnector / multi_modal_data
Patched: 0.26.0 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
SSRF (CWE-918) exists in vllm. Attackers reach the vulnerable code path via MiMoV2OmniForCausalLM.
Check the vendor advisory for the affected versions of vllm. Attack surface: MiMoV2OmniForCausalLM / allowed_local_media_path / vllm.multimodal.utils.MediaConnector / multi_modal_data.
Severity: Medium (CVSS 6.5/10). Confidential information can be exposed externally.
Update to 0.26.0.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'vllm' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'vllm' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
vllmを grep し、稼働しているサービス・バージョンを把握する。 -
2Apply patch patch
Upgrade vllm to 0.26.0ステージング環境で 0.26.0 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。
-
3Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
Affected packages
References
- web github.com
- web github.com
- web github.com
- web github.com
- web nvd.nist.gov
- web github.com