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THREATINT
PUBLISHED

CVE-2024-35198

TorchServe bypass allowed_urls configuration



AssignerGitHub_M
Reserved2024-05-10
Published2024-07-18
Updated2024-08-07

Description

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. 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. This issue in TorchServe has been fixed by validating the URL without characters such as ".." before downloading see PR #3082. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.



CRITICAL: 9.8CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Problem types

CWE-706: Use of Incorrectly-Resolved Name or Reference

Product status

>= 0.4.2, < 0.11.0
affected

References

https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2

https://github.com/pytorch/serve/pull/3082

https://github.com/pytorch/serve/releases/tag/v0.11.0

cve.org CVE-2024-35198

nvd.nist.gov CVE-2024-35198

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