CVE-2024-35198
July 19, 2024, 1:01 p.m.
Tags
CVSS Score
Product(s) Impacted
TorchServe
- 0.11.0
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.
Weaknesses
CWE-706
Use of Incorrectly-Resolved Name or Reference
The product uses a name or reference to access a resource, but the name/reference resolves to a resource that is outside of the intended control sphere.
CWE ID: 706Date
Published: July 19, 2024, 2:15 a.m.
Last Modified: July 19, 2024, 1:01 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
CVSS Data
Attack Vector
ADJACENT_NETWORK
Attack Complexity
LOW
Privileges Required
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
NONE
Availability Impact
NONE
Base Score
Exploitability Score
Impact Score
Base Severity
MEDIUMCVSS Vector String
The CVSS vector string provides an in-depth view of the vulnerability metrics.
View Vector StringCVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N