CVE-2024-35198

CRITICAL EPSS 51.7%
Published Jul 19, 20241y ago · Modified Jun 17, 20262w ago
9.8 CVSS 3.1
Critical
Find Similar
Published Jul 19, 2024 1y ago
Last Modified Jun 17, 2026 2w ago

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.

CVSS Details

Base Score
9.8
Exploitability
3.9
Impact
5.9
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction None
Scope Unchanged
Confidentiality High
Integrity High
Availability High

Threat Intelligence

EPSS Exploit Probability
51.7% percentile
Exploit & Patch Status
No Known Exploit
Patch Available

Weaknesses 1

CWE-706

Affected Products 1

VendorProductVersionRange
pytorchtorchserve*≥0.4.2  –  <0.11.0

References 3

  • github.com https://github.com/pytorch/serve/pull/3082
    Patch
  • github.com https://github.com/pytorch/serve/releases/tag/v0.11.0
    Release Notes
  • github.com https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2
    Third Party Advisory

Remediation

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