GHSA-wxcx-gg9c-fwp2
TorchServe vulnerable to bypass of allowed_urls configuration
Packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| PyPI | torchserve | < 0.11.0 | 0.11.0 |
Details
As written in the advisory (Markdown source, shown as plain text).
### Impact
TorchServe's check on allowed_urls configuration can be by-passed if the URL contains characters such as ".." but it does not prevent the model from being downloaded into the model store. Once a file is downloaded, it can be referenced without providing a URL the second time, which effectively bypasses the allowed_urls security check. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected.
### Patches
This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading: [#3082](https://github.com/pytorch/serve/pull/3082).
TorchServe release 0.11.0 includes the fix to address this vulnerability.
### References
* [#3082](https://github.com/pytorch/serve/pull/3082)
* [TorchServe release v0.11.0](https://github.com/pytorch/serve/releases/tag/v0.11.0)
Thank Kroll Cyber Risk for for responsibly disclosing this issue.
If you have any questions or comments about this advisory, we ask that you contact AWS Security via our [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting) or directly via email to [[email protected]](mailto:[email protected]). Please do not create a public GitHub issue.
References
External links from the advisory. They lead to third-party sites.
- https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2
- https://nvd.nist.gov/vuln/detail/CVE-2024-35198
- https://github.com/pytorch/serve/pull/3082
- https://github.com/pytorch/serve/commit/cdba0fd449c2fd23dcf37c54c0784035541d5114
- https://github.com/pytorch/serve
- https://github.com/pytorch/serve/releases/tag/v0.11.0