CVSS: 9.8EPSS: 0%CPEs: 1EXPL: 0CVE-2024-35198 – TorchServe bypass allowed_urls configuration
https://notcve.org/view.php?id=CVE-2024-35198
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. • https://github.com/pytorch/serve/pull/3082 https://github.com/pytorch/serve/releases/tag/v0.11.0 https://github.com/pytorch/serve/security/advisories/GHSA-wxcx-gg9c-fwp2 • CWE-706: Use of Incorrectly-Resolved Name or Reference •
CVSS: 8.2EPSS: 0%CPEs: 1EXPL: 0CVE-2024-35199 – TorchServe gRPC Port Exposure
https://notcve.org/view.php?id=CVE-2024-35199
TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. In affected versions the two gRPC ports 7070 and 7071, are not bound to [localhost](http://localhost/) by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed in PR #3083. TorchServe release 0.11.0 includes the fix to address this vulnerability. • https://github.com/pytorch/serve/pull/3083 https://github.com/pytorch/serve/releases/tag/v0.11.0 https://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w • CWE-668: Exposure of Resource to Wrong Sphere •