Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2020-13353

2.5 · LOW
Published Nov 17, 2020 gitlab CWE-613 EPSS 0.27% (19th pctl)

Overview

CVE-2020-13353 is a low-severity vulnerability affecting gitlab gitaly. It was published on November 17, 2020 and has a CVSS 3.1 base score of 2.5 (LOW).

This vulnerability has a CVSS 3.1 base score of 2.5, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

When importing repos via URL, one time use git credentials were persisted beyond the expected time window in Gitaly 1.79.0 or above.

Remediation

Check the references section for vendor advisories and patches from gitlab. Update gitaly 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 gitaly >= 1.79.0, < 13.3.9 Affected

Frequently Asked Questions

What is CVE-2020-13353?

CVE-2020-13353 is a low-severity vulnerability affecting gitlab gitaly. It was published on November 17, 2020 and has a CVSS 3.1 base score of 2.5 (LOW).

How severe is CVE-2020-13353?

This vulnerability has a CVSS 3.1 base score of 2.5, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2020-13353?

Check the references section for vendor advisories and patches from gitlab. Update gitaly 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-2020-13353?

CyberStrike's AI-powered security agents can automatically detect CVE-2020-13353 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.