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CVE-2024-45189

6.5 · MEDIUM
Published Aug 23, 2024 mage CWE-22 EPSS 0.88% (56th pctl)

Overview

CVE-2024-45189 is a medium-severity vulnerability affecting mage mage-ai. It was published on August 23, 2024 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Mage AI allows remote users with the "Viewer" role to leak arbitrary files from the Mage server due to a path traversal in the "Git Content" request

Remediation

Check the references section for vendor advisories and patches from mage. Update mage-ai 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

Frequently Asked Questions

What is CVE-2024-45189?

CVE-2024-45189 is a medium-severity vulnerability affecting mage mage-ai. It was published on August 23, 2024 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2024-45189?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-45189?

Check the references section for vendor advisories and patches from mage. Update mage-ai 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-2024-45189?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-45189 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.