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CVE-2023-3363

3.9 · LOW

An information disclosure issue in Gitlab CE/EE affecting all versions from 13.6 prior to 15.11.10, all versions from 16.0 prior to 16.0.6, all versions from 16.1 prior to 16.1.1, resulted in the S…

Published Jul 13, 2023CWE-532EPSS 0.18%

Overview

CVE-2023-3363 is a low-severity vulnerability. It was published on July 13, 2023 and has a CVSS 3.1 base score of 3.9 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.9, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical description

An information disclosure issue in Gitlab CE/EE affecting all versions from 13.6 prior to 15.11.10, all versions from 16.0 prior to 16.0.6, all versions from 16.1 prior to 16.1.1, resulted in the Sidekiq log including webhook tokens when the log format was set to `default`.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. 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.

References

Refgitlab.com/gitlab-org/gitlab/-/issues/409034Refgitlab.com/gitlab-org/gitlab/-/issues/409034

How CyberStrike helps

Frequently asked questions

What is CVE-2023-3363?

CVE-2023-3363 is a low-severity vulnerability. It was published on July 13, 2023 and has a CVSS 3.1 base score of 3.9 (LOW).

How severe is CVE-2023-3363?

This vulnerability has a CVSS 3.1 base score of 3.9, 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-2023-3363?

Check the references section for vendor advisories, patches, and mitigation guidance. 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-2023-3363?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2023-3363 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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