---
id: CVE-2024-35198
aliases:
  - GHSA-wxcx-gg9c-fwp2
  - PYSEC-2026-554
title: TorchServe vulnerable to bypass of allowed_urls configuration
summary: TorchServe vulnerable to bypass of allowed_urls configuration
severity: critical
cvss: 9.8
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'
vendor: torchserve
product: torchserve
ecosystem: pip
affected:
  - torchserve < 0.11.0
patched:
  - torchserve 0.11.0
published: '2024-07-18'
updated: '2026-09-10'
sourceUpdated: '2026-09-10T03:50:17.056932446Z'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-wxcx-gg9c-fwp2'
references:
  - url: 'https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2'
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2024-35198'
  - url: 'https://github.com/pytorch/serve/pull/3082'
  - url: >-
      https://github.com/pytorch/serve/commit/cdba0fd449c2fd23dcf37c54c0784035541d5114
  - url: 'https://github.com/pytorch/serve'
  - url: 'https://github.com/pytorch/serve/releases/tag/v0.11.0'
tags:
  - osv
  - pip
epss: 0.00799
epssPercentile: 0.5462
ingestedAt: '2026-09-12T03:13:01.738Z'
---

## Overview

### 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.

## Affected packages

- `torchserve < 0.11.0`

## Remediation

Upgrade to a patched release:

- `torchserve 0.11.0`