CVE-2026-73560: vLLM SSRF + Arbitrary Local File Vulnerability

MODERATE
Advisory Identifier: GHSA-4hhp-h66f-j5j7
CVSS 6.5
CWE-918
Published
Advisory Summary

CVE-2026-73560 is a MODERATE (CVSS 6.5) ssrf + arbitrary local file vulnerability (CWE-918: Server-Side Request Forgery (SSRF)) affecting vLLM libraries in the PyPI ecosystem. The issue involves ssrf + arbitrary local file read in mimov2omnimultimodalprocessor `_fetch_image` and audio loader bypass mediaconnector protections. Remediation is available by upgrading affected packages to version 0.26.0.

CVE-2026-73560 at a Glance

CVE Identifier CVE-2026-73560
GHSA Identifier GHSA-4hhp-h66f-j5j7
Severity MODERATE
CVSS v3.1 Base Score 6.5
CWE Classification CWE-918: Server-Side Request Forgery (SSRF)
Affected Product vLLM
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 6.5

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N).

Attack Vector Network (AV:N)
Attack Complexity Low (AC:L)
Privileges Required Low (PR:L)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity None (I:N)
Availability None (A:N)

How to Fix CVE-2026-73560

To remediate this vulnerability, upgrade all affected vLLM dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

vllm fixed: 0.26.0
pip install vllm>=0.26.0
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show vllm

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2026-73560, inspect your installed packages using pip:

pip show vllm

Analyze the terminal output to locate any version of vLLM in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 0.26.0), your application is affected.

Note: The pip show vllm command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-918: Server-Side Request Forgery (SSRF), where 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. In vLLM, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### 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):** ```python 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(BytesIO(r.content)))) if src.startswith("file://"): return _to_rgb(Image.open(src[7:])) # arbitrary local file read if src.startswith("data:image"): ... return _to_rgb(Image.open(src)) # fallback also opens local files raise ValueError(f"Unrecognized image source: {type(src)}") ``` **Sink 2 — audio SSRF (around line 471):** ```python elif audio.startswith(("http://", "https://")): r = requests.get(audio, timeout=30) # SSRF: same pattern r.raise_for_status() file_obj = io.BytesIO(r.content) ``` **Reachability.** `_fetch_image` is invoked from `MiMoVLProcessor.process_image`: ```python def process_image(self, image: ImageInput) -> torch.Tensor: kw = self._resolve_img_kw(image) src = image.image if isinstance(src, (str, bytes)): src = _fetch_image(src) ... ``` `MiMoVLProcessor` is wrapped by `MiMoV2OmniMultiModalProcessor` and registered for the `MiMoV2OmniForCausalLM` model architecture (`vllm/model_executor/models/mimo_v2_omni.py:1169`). Whenever a user passes a string into `multi_modal_data["image"]` (or `["audio"]`) for this model, the unsanitized URL/path reaches the sink. **Comparison to the recent fixes.** The remediation pattern adopted in the three earlier advisories was to route every external resource fetch through `MediaConnector`, which checks `allowed_local_media_path` and applies SSRF protection before issuing the network request. `chat_utils.py` (lines 838, 902, 924, 963, 1053, 1081) already uses `self._connector.fetch_image / fetch_audio / fetch_video`. The model processor in `mimo_v2_omni.py` was added later and skipped the connector — it calls `requests.get` and `Image.open` directly. Result: the public OpenAI chat-completion path is protected, but library use (`LLM.generate(multi_modal_data=...)`), batch processing, and any other path that lets a string reach the processor receive no protection. ### Impact 1. **SSRF — internal-network probing / cloud-metadata theft.** Standard `requests.get` follows redirects and accepts any URL. An attacker who controls a `multi_modal_data` value can: - read AWS / GCP / Azure instance metadata (e.g. `http://169.254.169.254/latest/meta-data/iam/security-credentials/`), - probe internal services on the vLLM host (`http://127.0.0.1:<port>`, `http://10.x.y.z`), - exfiltrate via DNS / HTTP timing oracles even when the body is rejected by `Image.open`. 2. **Arbitrary local file read** via `file://path` (line 242) and the unguarded fallback `Image.open(src)` (line 248). Any file readable by the vLLM process is reachable through the model pipeline; with suitable formats this exposes `/etc/passwd`, `~/.aws/credentials`, etc. 3. **Server-side traffic generation / amplification** by hammering arbitrary URLs from the vLLM host, with a 30-second timeout per request. ### Suggested remediation Replace direct `requests.get` and bare `Image.open` paths with `MediaConnector.fetch_image` / `fetch_audio_async` (or pass the inputs through `MediaConnector` before they reach the processor): ```python # vllm/transformers_utils/processors/mimo_v2_omni.py from vllm.multimodal.utils import MediaConnector _connector = MediaConnector() def _fetch_image(src): 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): return _to_rgb(_connector.fetch_image(src)) # delegates to the hardened path raise ValueError(f"Unrecognized image source: {type(src)}") ``` Same change for the audio loader at line 471. This re-uses the SSRF allowlist, `allowed_local_media_path` policy, and size caps that the previous patches added. Alternative: forbid `str` `src` from reaching the processor and require all multi-modal pre-processing to go through `chat_utils.py` / `MediaConnector` before hitting the model. Larger surface change, but completes the architectural fix. ### Discovery Static review on `vllm@main` (HEAD as of 2026-04-30) — found by triaging the file list against the three recent SSRF advisories: the `mimo_v2_omni.py` processor, added after those fixes, reintroduced the same bypass class. ### Reporter Ievgen Bondarenko — `sactransport2000@gmail.com` — GitHub `@ibondarenko1`

CVE-2026-73560 Affected vLLM Versions

1 component(s)
Fixed Versions:
0.26.0
Product / Package Ecosystem Affected Versions Fixed Version
vllm
PyPI
< 0.26.0
0.26.0

References

Frequently Asked Questions

What is CVE-2026-73560?
CVE-2026-73560 is a security vulnerability in vLLM involving SSRF + arbitrary local file read in MiMoV2OmniMultiModalProcessor `_fetch_image` and audio loader bypass MediaConnector protections under CWE-918: Server-Side Request Forgery (SSRF).
Which vLLM versions are affected?
Affected versions include releases prior to 0.26.0 across affected packages: vllm.
What version fixes CVE-2026-73560?
Upgrading to 0.26.0 (or the latest patched release for your respective branch) resolves the vulnerability.
Is vllm affected?
Yes, vllm is affected in releases prior to 0.26.0. Upgrade your dependency to 0.26.0 or later.
What is the CVSS score of CVE-2026-73560?
CVE-2026-73560 has a CVSS v3.1 base score of 6.5 (MODERATE) with vector string CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N.
What CWE is associated with CVE-2026-73560?
CVE-2026-73560 is classified under CWE-918: Server-Side Request Forgery (SSRF) (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.).
How can I check PyPI dependencies for CVE-2026-73560?
Run the dependency tree command: 'pip show vllm'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-4hhp-h66f-j5j7",
  "modified" : "2026-09-08T20:42:00Z",
  "published" : "2026-09-08T20:42:00Z",
  "aliases" : [ "CVE-2026-73560" ],
  "summary" : "vLLM: SSRF + arbitrary local file read in MiMoV2OmniMultiModalProcessor `_fetch_image` and audio loader bypass MediaConnector protections",
  "details" : "### Summary\n\n`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**.\n\nThis 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.\n\n### Details\n\n**File:** `vllm/transformers_utils/processors/mimo_v2_omni.py` (current `main`)\n\n**Sink 1 — image SSRF + local-file read (`_fetch_image`, lines 231–249):**\n\n```python\ndef _fetch_image(src: Any) -> Image.Image:\n    if isinstance(src, Image.Image):\n        return _to_rgb(src)\n    if isinstance(src, bytes):\n        return _to_rgb(copy.deepcopy(Image.open(BytesIO(src))))\n    if isinstance(src, str):\n        if src.startswith((\"http://\", \"https://\")):\n            r = requests.get(src, timeout=30)              # SSRF: no allowlist, follows redirects\n            r.raise_for_status()\n            return _to_rgb(copy.deepcopy(Image.open(BytesIO(r.content))))\n        if src.startswith(\"file://\"):\n            return _to_rgb(Image.open(src[7:]))            # arbitrary local file read\n        if src.startswith(\"data:image\"):\n            ...\n        return _to_rgb(Image.open(src))                    # fallback also opens local files\n    raise ValueError(f\"Unrecognized image source: {type(src)}\")\n```\n\n**Sink 2 — audio SSRF (around line 471):**\n\n```python\nelif audio.startswith((\"http://\", \"https://\")):\n    r = requests.get(audio, timeout=30)                    # SSRF: same pattern\n    r.raise_for_status()\n    file_obj = io.BytesIO(r.content)\n```\n\n**Reachability.** `_fetch_image` is invoked from `MiMoVLProcessor.process_image`:\n\n```python\ndef process_image(self, image: ImageInput) -> torch.Tensor:\n    kw = self._resolve_img_kw(image)\n    src = image.image\n    if isinstance(src, (str, bytes)):\n        src = _fetch_image(src)\n    ...\n```\n\n`MiMoVLProcessor` is wrapped by `MiMoV2OmniMultiModalProcessor` and registered for the `MiMoV2OmniForCausalLM` model architecture (`vllm/model_executor/models/mimo_v2_omni.py:1169`). Whenever a user passes a string into `multi_modal_data[\"image\"]` (or `[\"audio\"]`) for this model, the unsanitized URL/path reaches the sink.\n\n**Comparison to the recent fixes.** The remediation pattern adopted in the three earlier advisories was to route every external resource fetch through `MediaConnector`, which checks `allowed_local_media_path` and applies SSRF protection before issuing the network request. `chat_utils.py` (lines 838, 902, 924, 963, 1053, 1081) already uses `self._connector.fetch_image / fetch_audio / fetch_video`. The model processor in `mimo_v2_omni.py` was added later and skipped the connector — it calls `requests.get` and `Image.open` directly. Result: the public OpenAI chat-completion path is protected, but library use (`LLM.generate(multi_modal_data=...)`), batch processing, and any other path that lets a string reach the processor receive no protection.\n\n### Impact\n\n1. **SSRF — internal-network probing / cloud-metadata theft.** Standard `requests.get` follows redirects and accepts any URL. An attacker who controls a `multi_modal_data` value can:\n   - read AWS / GCP / Azure instance metadata (e.g. `http://169.254.169.254/latest/meta-data/iam/security-credentials/`),\n   - probe internal services on the vLLM host (`http://127.0.0.1:<port>`, `http://10.x.y.z`),\n   - exfiltrate via DNS / HTTP timing oracles even when the body is rejected by `Image.open`.\n2. **Arbitrary local file read** via `file://path` (line 242) and the unguarded fallback `Image.open(src)` (line 248). Any file readable by the vLLM process is reachable through the model pipeline; with suitable formats this exposes `/etc/passwd`, `~/.aws/credentials`, etc.\n3. **Server-side traffic generation / amplification** by hammering arbitrary URLs from the vLLM host, with a 30-second timeout per request.\n\n### Suggested remediation\n\nReplace direct `requests.get` and bare `Image.open` paths with `MediaConnector.fetch_image` / `fetch_audio_async` (or pass the inputs through `MediaConnector` before they reach the processor):\n\n```python\n# vllm/transformers_utils/processors/mimo_v2_omni.py\nfrom vllm.multimodal.utils import MediaConnector\n\n_connector = MediaConnector()\n\ndef _fetch_image(src):\n    if isinstance(src, Image.Image):\n        return _to_rgb(src)\n    if isinstance(src, bytes):\n        return _to_rgb(copy.deepcopy(Image.open(BytesIO(src))))\n    if isinstance(src, str):\n        return _to_rgb(_connector.fetch_image(src))   # delegates to the hardened path\n    raise ValueError(f\"Unrecognized image source: {type(src)}\")\n```\n\nSame change for the audio loader at line 471. This re-uses the SSRF allowlist, `allowed_local_media_path` policy, and size caps that the previous patches added.\n\nAlternative: forbid `str` `src` from reaching the processor and require all multi-modal pre-processing to go through `chat_utils.py` / `MediaConnector` before hitting the model. Larger surface change, but completes the architectural fix.\n\n### Discovery\n\nStatic review on `vllm@main` (HEAD as of 2026-04-30) — found by triaging the file list against the three recent SSRF advisories: the `mimo_v2_omni.py` processor, added after those fixes, reintroduced the same bypass class.\n\n### Reporter\n\nIevgen Bondarenko — `sactransport2000@gmail.com` — GitHub `@ibondarenko1`",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "vllm"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "0.26.0"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "WEB",
    "url" : "https://github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66f-j5j7"
  }, {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-73560"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/vllm-project/vllm/pull/43117"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28652e4cc42307b5"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/vllm-project/vllm"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/vllm-project/vllm/releases/tag/v0.26.0"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-918" ],
    "severity" : "MODERATE",
    "github_reviewed" : true,
    "github_reviewed_at" : "2026-09-08T20:42:00Z",
    "nvd_published_at" : "2026-08-17T21:16:48Z"
  }
}