CVE-2022-3206
5.9 · MEDIUMOverview
CVE-2022-3206 is a medium-severity vulnerability affecting passster_project passster. It was published on October 17, 2022 and has a CVSS 3.1 base score of 5.9 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.9, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
The Passster WordPress plugin before 3.5.5.5.2 stores the password inside a cookie named "passster" using base64 encoding method which is easy to decode. This puts the password at risk in case the cookies get leaked.
Remediation
Check the references section for vendor advisories and patches from passster_project. Update passster 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 |
|---|---|---|---|
| passster_project | passster | >= 0, < 3.5.5.5.2 | Affected |
Frequently Asked Questions
What is CVE-2022-3206?
CVE-2022-3206 is a medium-severity vulnerability affecting passster_project passster. It was published on October 17, 2022 and has a CVSS 3.1 base score of 5.9 (MEDIUM).
How severe is CVE-2022-3206?
This vulnerability has a CVSS 3.1 base score of 5.9, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2022-3206?
Check the references section for vendor advisories and patches from passster_project. Update passster 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-2022-3206?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-3206 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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