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CVE-2024-8635

7.7 · HIGH
Published Sep 12, 2024 gitlab CWE-918 EPSS 0.56% (44th pctl)

Overview

CVE-2024-8635 is a high-severity vulnerability affecting gitlab gitlab. It was published on September 12, 2024 and has a CVSS 3.1 base score of 7.7 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.7, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

A server-side request forgery issue has been discovered in GitLab EE affecting all versions starting from 16.8 prior to 17.1.7, from 17.2 prior to 17.2.5, and from 17.3 prior to 17.3.2. It was possible for an attacker to make requests to internal resources using a custom Maven Dependency Proxy URL

Remediation

Check the references section for vendor advisories and patches from gitlab. Update gitlab to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
gitlab gitlab >= 16.8.0, < 17.1.7 Affected

Frequently Asked Questions

What is CVE-2024-8635?

CVE-2024-8635 is a high-severity vulnerability affecting gitlab gitlab. It was published on September 12, 2024 and has a CVSS 3.1 base score of 7.7 (HIGH).

How severe is CVE-2024-8635?

This vulnerability has a CVSS 3.1 base score of 7.7, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-8635?

Check the references section for vendor advisories and patches from gitlab. Update gitlab to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2024-8635?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-8635 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.