Medium

vLLM: Qwen2-VL / Qwen3-VL video samplers bound on request-controlled max_frames, which the num_frames ceiling does not reach

  • Disclosed: 05.10.2026
  • Updated: 15.10.2026 18:17

Summary

An unauthenticated remote attacker can exhaust the memory of the vLLM API-server process by raising the request-level media_io_kwargs.video.max_frames and fps knobs on any deployment serving a Qwen2-VL or Qwen3-VL model. 74 extra bytes of JSON took the server's peak RSS from 2 271 MiB to 13 629 MiB over unauthenticated POST /tokenize.

The num_frames ceiling reported in GHSA-vxqj-p4gw-9h4c and fixed by open PR #51969 does not reach this path: the Qwen samplers do not read num_frames at all. The same knobs were already capped upstream for GLMGAVideoBackend as an accepted security fix in 8b6de0eb9 (PR #54935, merged 2026-09-04); that cap never reached Qwen.

Details

Relationship to GHSA-vxqj-p4gw-9h4c and PR #51969 (read this first)

GHSA-vxqj-p4gw-9h4c reported that request-level media_io_kwargs.video.num_frames overrides the engine frame-count ceiling, and open PR #51969 fixes it by clamping num_frames inside VideoMediaIO.merge_kwargs.

That clamp does not reach the Qwen samplers. Qwen2VLVideoBackend and Qwen3VLVideoBackend do not read num_frames at all — Qwen2VLVideoBackend's own docstring says so ("num_frames is ignored (fps-driven, like the Qwen3-VL loader)"). They bound on max_frames, read from the same merged dict with no ceiling:

python
# vllm/multimodal/video.py — Qwen3VLVideoBackend.compute_frames_index_to_sample
min_frames = kwargs.get("min_frames", 4)
max_frames = kwargs.get("max_frames", 768)
num_frames = int(total_frames_num / original_fps * fps)
num_frames = min(max(num_frames, min_frames), max_frames, total_frames_num)

With max_frames raised from the request, the only remaining bound is total_frames_num — every frame in the container.

I applied PR #51969's patch locally and re-ran both paths through the real merge layer (merge_media_io_kwargs → VideoMediaIO.merge_kwargs → MediaConnector), against main @ b23433088:

request media_io_kwargs.video merged kwargs after #51969 frames decoded peak RSS
(absent) None 32 706 MiB
{"video_backend":"opencv","num_frames":-1} {…,"num_frames":32} 32 — fixed 706 MiB
{"video_backend":"qwen3_vl"} {…,"num_frames":32} 60 779 MiB
{"video_backend":"qwen3_vl","max_frames":1e9,"fps":1e6} {…,"max_frames":1000000000,"fps":1000000,"num_frames":32} 900 — survives 2 994 MiB

#51969 does exactly what it claims for num_frames; the clamp writes num_frames: 32 into the merged dict and the Qwen sampler ignores it, while max_frames and fps pass through untouched.

The codebase already has the fix pattern, on other backends

This is not a new control being proposed. Commit 8b6de0eb9 — "[Security] Cap GLMGA video sampling to prevent request-driven resource exhaustion" (PR #54935, merged 2026-09-04, same author as #51969) — caps precisely these two knobs for GLMGAVideoBackend:

python
_MAX_FRAMES: ClassVar[int] = 640
_MAX_FPS: ClassVar[int] = 30
...
target_fps = min(target.fps, cls._MAX_FPS)
max_frames = min(kwargs.get("max_frames", cls._MAX_FRAMES), cls._MAX_FRAMES)

Its description states the root cause as "both target_fps and max_frames are controllable via request-level media_io_kwargs", and says it follows "the pattern established by GLM46VVideoBackend" (which caps via _MAX_FRAME_COUNT_DYNAMIC = 640 and _MAX_DURATION = 2400).

So two backends cap request-controlled fps/max_frames as an accepted security measure. Qwen2VLVideoBackend and Qwen3VLVideoBackend — the most widely deployed video models on vLLM — cap neither. In GLMGA the uncapped knobs sized an intermediate index list; in the Qwen samplers they size the decoded frame buffer, which is larger by the per-frame pixel count.

Reachability — default configuration, no authentication

  • media_io_kwargs is a request body field on ChatCompletionRequest and is carried by /v1/chat/completions, /v1/embeddings, /v1/responses, /tokenize and /invocations. No flag gates it.
  • api_key defaults to None (vllm/entrypoints/launchers/cli_args.py), and AuthenticationMiddleware is installed only when a key is configured — a default vllm serve is entirely unauthenticated.
  • Even with --api-key set, GUARDED_PREFIX = ("/v1", "/v2", "/inference", "/cohere") (vllm/entrypoints/serve/middleware/authenticate.py:11), so /invocations — which validates the same ChatCompletionRequest body — and /tokenize — which performs full media ingestion — remain unauthenticated.
  • MediaConnector.fetch_video applies the model's registered sampler only when the request did not name one (if "video_backend" not in video_io_kwargs), so video_backend: "qwen3_vl" is selectable on any deployment; request-level selection of stock sampler subclasses is already established as reachable by GHSA-j682-9xp5-rrf3. On a Qwen deployment no video_backend key is needed at all.
  • Default-on for any video-capable Qwen model.

The Rust frontend is not affected. rust/src/server/src/routes/openai/chat_completions/validate.rs:90 rejects media_io_kwargs with "media_io_kwargs is not supported." No second front is needed.

Impact

Unauthenticated remote denial of service by memory exhaustion of the API-server process. The decode runs in the frontend during chat parsing, before scheduling or admission control, so every tenant on the instance is affected. --limit-mm-per-prompt does not apply — it bounds media items, not frames within an item. CWE-770 / CWE-400.

Measured over unauthenticated HTTP: 1.43 MiB request body, 74 extra bytes of JSON, server peak RSS 2 271 → 13 629 MiB. In-process, the same request takes the decode from 60 to 900 frames. The frame count is bounded only by total_frames_num, which is the attacker's choice of video, and decoded bytes are frames × H × W × 3.

Context, measured on the num_frames path (GHSA-vxqj-p4gw-9h4c's path), not this one — these figures show what an unbounded frame count costs once the source video is chosen for it, and they transfer to this path because both converge on the same _read_frames_no_recovery allocation:

  • 5.74 MiB request body → 9.27 GiB decoded, 9.73 GiB of new resident memory (1 736×).
  • 117.6 MiB video/jpeg payload → process OOM-killed: Out of memory: Killed process 182667 (python) total-vm:38665704kB, anon-rss:21121616kB

The two were not re-run at the larger sizes through the Qwen sampler; the 900-frame figure above is what I measured on this path.

Suggested fix

Extend the ceiling to the sampler-side knobs rather than clamping the single num_frames key. Two options, either acceptable:

  1. Per-backend caps, matching 8b6de0eb9. Give Qwen2VLVideoBackend and Qwen3VLVideoBackend the _MAX_FRAMES / _MAX_FPS treatment already applied to GLMGAVideoBackend, so kwargs.get("max_frames", …) and target.fps are clamped to class constants. Smallest change; consistent with the accepted precedent. It leaves Glm5NextVideoBackend, Molmo2VideoBackend, NemotronVLVideoBackend, DynamicVideoBackend and OpenCVDynamicOpenPanguVideoBackend to be audited one by one, which is the current trajectory (#55727, #56207, #56390).
  2. Strip the frame-count knobs at the merge boundary. In VideoMediaIO.merge_kwargs, drop max_frames / min_frames / fps from runtime_kwargs the way hw_decoders, pool_size, device and unconfigured GPU backends are already dropped there. That treats the whole frame-count family as startup-only in one place and is robust to future sampler subclasses, at the cost of removing a request-level knob some users may rely on. A clamp-don't-strip variant (request may lower, never raise) preserves the feature.

Option 2 composes with #51969 and needs no per-backend audit; I would favour it, but option 1 is the more conservative change and matches what has already been merged.

Affected versions

>= 0.24.0, through v0.29.1rc0 and main @ b23433088.

Lower bound established by probing release tags through the GitHub contents API; no version below is inferred, each was read out of the file at that tag.

Confirmed present — Qwen samplers reading unclamped max_frames (max_frames = kwargs.get("max_frames", 768) inside Qwen2VLVideoBackend / Qwen3VLVideoBackend in vllm/multimodal/video.py):

ref Qwen3VLVideoBackend present unclamped max_frames
v0.23.0 no (class does not exist) n/a
v0.24.0 yes yes
v0.25.0, v0.26.0, v0.27.0, v0.28.0, v0.29.0, v0.29.1rc0 yes yes
main @ b23433088 yes yes

Confirmed present — request-level media_io_kwargs (field on the chat request model, and VideoMediaIO.merge_kwargs present): every ref probed, v0.19.0 through v0.29.1rc0 and main @ b23433088.

Confirmed absent — any num_frames ceiling clamp (PR #51969 unmerged): every ref probed, v0.19.0 through v0.29.1rc0 and main @ b23433088.

Not resolved, and why:

  1. The introducing commit/PR for Qwen2VLVideoBackend / Qwen3VLVideoBackend. My clone is shallow (--depth=300), so git log -S'max_frames' cannot reach it; the v0.23.0 → v0.24.0 boundary above is the tightest bound I established by probing release tags.
  2. The rc tags between v0.23.0 and v0.24.0, to tighten the lower bound to a specific release candidate.
  3. Whether a max_frames knob on a differently named pre-v0.24.0 backend is separately affected — at v0.23.0 GLMGAVideoBackend already carried max_frames = kwargs.get("max_frames", 640) with no clamp, and that clamp was only added on 2026-09-04 by 8b6de0eb9. Versions between are plausibly affected through GLMGA rather than Qwen; I did not test that path.
  4. Whether GHSA-vxqj-p4gw-9h4c's own affected range differs, which I cannot see — the advisory returns 404 to me.

No dependency versions are asserted anywhere in this report.

Weaknesses of this report, stated upfront

  • No GPU was used. This host has no CUDA device, so the HTTP results come from the in-tree GPU-less render server rather than a full vllm serve. That server runs the real frontend — the same request model, the same merge_media_io_kwargs → VideoMediaIO.merge_kwargs → MediaConnector.fetch_video chain, the same /tokenize route — and media decoding happens entirely in the frontend, so I do not believe the engine's presence changes the result. I have not confirmed that on a GPU deployment, and a reviewer may reasonably want that repeated under vllm serve.
  • The in-process measurements (the #51969 comparison table) were taken by importing the tree directly at b23433088, verified by __file__, with no vllm wheel installed.
  • Amplification figures are a floor. The OpenCV build available here offers only mp4v/XVID, giving ~2 200× compression on static content. An attacker using x264/x265 would do materially better for the same frame count.
  • The two large figures in the Impact section (9.73 GiB RSS; the OOM kill) were measured on the num_frames path, not this one, and are labelled as such.
  • Per-frame pixels remain bounded by VLLM_MAX_IMAGE_PIXELS; this concerns the unbounded frame count, which multiplies it.
  • VLLM_MAX_MEDIA_DOWNLOAD_SIZE_MB (default 256) caps the compressed size of an HTTP-fetched video but not a data: URI, which MediaConnector.load_from_url dispatches before any size logic is reached.

Prepared with AI assistance (Claude), per the repository's contributing guidance on disclosing AI-assisted contributions. All findings were verified by executing vLLM's own code at the commits cited; the analysis and the claims are my own.

Reported by Eva Crystal / 0xiviel (XSource Security).

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) vllm >= 0.24.0, < 0.30.0 0.30.0

References

CVSS score 5.3/10
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
Weakness (CWE)
CWE-770
Platform
Python (PyPI)
Package
vllm
Disclosed
05.10.2026
Updated
15.10.2026 18:17

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2026-4310 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-x6mc-67gf-chw4 - CC BY 4.0

Vulnerability history: vllm

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (94) in the archive
Total entries
94
First → latest
09.2024 10.2026
Without a fix
5
Exploited in attacks
0

Severity breakdown

  • Critical 9
  • High 23
  • Medium 47
  • Low 4
  • Unrated 11

Disclosures per year

  1. 2024: 2
  2. 2025: 30
  3. 2026: 62
Severity:
  1. vLLM: Qwen2-VL / Qwen3-VL video samplers bound on request-controlled max_frames, which the num_frames ceiling does not reach this entry
    Medium · 5.3 CVE-2026-105758 >= 0.24.0, < 0.30.0 0.30.0
  2. High · 7.5 CVE-2026-54234 >= 0.17.1, < 0.24.0 0.24.0
  3. High CVE-2026-55514 >= 0.12.0, < 0.24.0 0.24.0
  4. Critical · 9.1 CVE-2026-48746 >= 0.3.0, < 0.22.0 0.22.0
  5. Critical · 9.8 CVE-2026-22778 >= 0.8.3, < 0.14.1 0.14.1
  6. High · 8.8 CVE-2026-22807 >= 0.10.1, < 0.14.0 0.14.0
  7. High · 8.8 CVE-2026-56340 >= 0.10.2, < 0.13.0 0.13.0
  8. High · 6.5 CVE-2025-62372 >= 0.5.5, < 0.11.1 0.11.1
  9. High · 8.8 CVE-2025-62164 >= 0.10.2, < 0.11.1 0.11.1
  10. High · 7.5 CVE-2025-59425 < 0.11.0 0.11.0
Show more (13) Showing 20 of 33

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