CVE-2022-1100
4.3 · MEDIUMOverview
CVE-2022-1100 is a medium-severity vulnerability affecting gitlab gitlab. It was published on April 4, 2022 and has a CVSS 3.1 base score of 4.3 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 4.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A potential DOS vulnerability was discovered in GitLab CE/EE affecting all versions from 13.1 prior to 14.7.7, 14.8.0 prior to 14.8.5, and 14.9.0 prior to 14.9.2. The api to update an asset as a link from a release had a regex check which caused exponential number of backtracks for certain user supplied values resulting in high CPU usage.
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 | >= 13.1.0, < 14.7.7 | Affected |
Frequently Asked Questions
What is CVE-2022-1100?
CVE-2022-1100 is a medium-severity vulnerability affecting gitlab gitlab. It was published on April 4, 2022 and has a CVSS 3.1 base score of 4.3 (MEDIUM).
How severe is CVE-2022-1100?
This vulnerability has a CVSS 3.1 base score of 4.3, 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-2022-1100?
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-2022-1100?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-1100 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
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Browser-based exploitation validates findings with real proof-of-concept.
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