TorchServe vulnerable to bypass of allowed_urls configuration

### 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 [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.

CVSS 3.1

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Severity from

GitHub (reviewed advisory)

Weakness

CWE-22, CWE-706

Also known as

CVE-2024-35198, PYSEC-2026-554

• github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2
• nvd.nist.gov/vuln/detail/CVE-2024-35198
• github.com/pytorch/serve/pull/3082
• github.com/pytorch/serve/commit/cdba0fd449c2fd23dcf37c54c0784035541d5114
• github.com/pytorch/serve
• github.com/pytorch/serve/releases/tag/v0.11.0