CVE-2022-29567
5.7 · MEDIUMOverview
CVE-2022-29567 is a medium-severity vulnerability affecting vaadin vaadin. It was published on May 24, 2022 and has a CVSS 3.1 base score of 5.7 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.7, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
The default configuration of a TreeGrid component uses Object::toString as a key on the client-side and server communication in Vaadin 14.8.5 through 14.8.9, 22.0.6 through 22.0.14, 23.0.0.beta2 through 23.0.8 and 23.1.0.alpha1 through 23.1.0.alpha4, resulting in potential information disclosure of values that should not be available on the client-side.
Remediation
Check the references section for vendor advisories and patches from vaadin. Update vaadin 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 |
|---|---|---|---|
| vaadin | vaadin | 14.8.5 | Affected |
Frequently Asked Questions
What is CVE-2022-29567?
CVE-2022-29567 is a medium-severity vulnerability affecting vaadin vaadin. It was published on May 24, 2022 and has a CVSS 3.1 base score of 5.7 (MEDIUM).
How severe is CVE-2022-29567?
This vulnerability has a CVSS 3.1 base score of 5.7, 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-2022-29567?
Check the references section for vendor advisories and patches from vaadin. Update vaadin 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-2022-29567?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-29567 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.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
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