What is the CVSS score of CVE-2024-35199?

CVE-2024-35199 has a CVSS 3.1 base score of 8.2 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H. EPSS exploitation probability: 0.6%.

Is there a patch available for CVE-2024-35199?

Yes, a patch is available for CVE-2024-35199. Update the affected software to the latest version immediately.

Torchserve CVE-2024-35199

HIGH

Exposure of Resource to Wrong Sphere (CWE-668)

2024-07-19 security-advisories@github.com

Information Disclosure Torchserve

8.2

CVSS 3.1 · Vendor: github

Severity by source

Vendor (github) PRIMARY

8.2 HIGH

AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H

Primary rating from Vendor (github) · only source for this CVE.

CVSS VectorVendor: github

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

Low

Integrity

None

Availability

High

Lifecycle Timeline

CVE Published

Jul 19, 2024 - 02:15 cve.org

HIGH 8.2

DescriptionCVE.org

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 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. Users are advised to upgrade. There are no known workarounds for this vulnerability.

AnalysisAI

TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. Rated high severity (CVSS 8.2), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Exposure of Resource to Wrong Sphere vulnerability could allow attackers to access resources from an unintended security context.

Technical ContextAI

This vulnerability is classified as Exposure of Resource to Wrong Sphere (CWE-668), which allows attackers to access resources from an unintended security context. 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 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. Users are advised to upgrade. There are no known workarounds for this vulnerability. Affected products include: Pytorch Torchserve.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Implement proper access controls, validate resource access permissions, use security boundaries.