Products
TorchServe
- 0.11.0
Source
security-advisories@github.com
Tags
CVE-2024-35198 details
Last Modified : July 19, 2024, 1:01 p.m.
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 Score
| 1 | 2 | 3 | 4 | 5.7 | 6 | 7 | 8 | 9 | 10 |
|---|
Weakness
| Weakness | Name | Description |
|---|---|---|
| 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. |
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
5.7
Exploitability Score
2.1
Impact Score
3.6
Base Severity
MEDIUM
Vector String : CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
References
| URL | Source |
|---|---|
| https://github.com/pytorch/serve/pull/3082 | security-advisories@github.com |
| https://github.com/pytorch/serve/releases/tag/v0.11.0 | security-advisories@github.com |
| https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2 | security-advisories@github.com |