CVE-2024-35198
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CVSS Score
V3.1EPSS Score
v2025.03.14There is a 0.1% chance that this vulnerability will be exploited in the wild within the next 30 days.
Attack Vector Metrics
Impact Metrics
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.
Available Exploits
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Affected Products
Affected Versions:
GitHub Security Advisories
Community-driven vulnerability intelligence from GitHub
TorchServe vulnerable to bypass of allowed_urls configuration
GHSA-wxcx-gg9c-fwp2Advisory Details
Affected Packages
CVSS Scoring
CVSS Score
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References
Advisory provided by GitHub Security Advisory Database. Published: July 18, 2024, Modified: August 7, 2024