vulnerability / NVI-00020085 / Revision 1
vLLM is vulnerable to DoS in Idefics3 vision models via image payload with ambiguous dimensions
GitHub lists this reviewed advisory for vllm. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
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6.5 medium
GitHub source severity; exploitability and local consequence require separate evidence.
As of · GitHub Advisory Database
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
vllm
source listed>= 0.6.4, < 0.12.0
### Summary Users can crash the vLLM engine serving multimodal models that use the _Idefics3_ vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. ### Details The vulnerability is triggered when the image processor encounters a 1x1 pixel image with shape (1, 1, 3) in HWC (Height, Width, Channel) format. Due to the ambiguous dimensions, the processor incorrectly assumes the image is in CHW (Channel, Height, Width) format with shape (3, H, W). This misinterpretation causes an incorrect calculation of the number of image patches, resulting in a fatal tensor split operation failure. **Crash location**: `vllm/model_executor/models/idefics3.py` line 672: ```python def _process_image_input(self, image_input: ImageInputs) -> torch.Tensor | list[torch.Tensor]: # ... num_patches = image_input["num_patches"] return [e.flatten(0, 1) for e in image_features.split(num_patches.tolist())] ``` The `split()` call fails because the computed `num_patches` value (17) does not match the actual tensor dimension (9): ``` RuntimeError: split_with_
03 / Response
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- investigate
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04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
05 / Provenance
Sources you can inspect
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- GHSA-grg2-63fw-f2qr ↗
GitHub Advisory Database · vendor advisory
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Public revision history
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- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.