CVE-2022-1757
5.4 · MEDIUMOverview
CVE-2022-1757 is a medium-severity vulnerability affecting pagebar_project pagebar. It was published on July 11, 2022 and has a CVSS 3.1 base score of 5.4 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
The pagebar WordPress plugin before 2.70 does not have CSRF check in place when updating its settings, which could allow attackers to make a logged in admin change them via a CSRF attack. Furthermore, due to the lack of sanitisation in some of them, it could also lead to Stored XSS issues
Remediation
Check the references section for vendor advisories and patches from pagebar_project. Update pagebar 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 |
|---|---|---|---|
| pagebar_project | pagebar | >= 0, < 2.70 | Affected |
Frequently Asked Questions
What is CVE-2022-1757?
CVE-2022-1757 is a medium-severity vulnerability affecting pagebar_project pagebar. It was published on July 11, 2022 and has a CVSS 3.1 base score of 5.4 (MEDIUM).
How severe is CVE-2022-1757?
This vulnerability has a CVSS 3.1 base score of 5.4, 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-2022-1757?
Check the references section for vendor advisories and patches from pagebar_project. Update pagebar 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-2022-1757?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-1757 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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