CVE-2022-1600
5.3 · MEDIUMOverview
CVE-2022-1600 is a medium-severity vulnerability affecting yop-poll yop_poll. It was published on August 1, 2022 and has a CVSS 3.1 base score of 5.3 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.3, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
The YOP Poll WordPress plugin before 6.4.3 prioritizes getting a visitor's IP from certain HTTP headers over PHP's REMOTE_ADDR, which makes it possible to bypass IP-based limitations to vote in certain situations.
Remediation
Check the references section for vendor advisories and patches from yop-poll. Update yop_poll 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 |
|---|---|---|---|
| yop-poll | yop_poll | >= 0, < 6.4.3 | Affected |
Frequently Asked Questions
What is CVE-2022-1600?
CVE-2022-1600 is a medium-severity vulnerability affecting yop-poll yop_poll. It was published on August 1, 2022 and has a CVSS 3.1 base score of 5.3 (MEDIUM).
How severe is CVE-2022-1600?
This vulnerability has a CVSS 3.1 base score of 5.3, 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-2022-1600?
Check the references section for vendor advisories and patches from yop-poll. Update yop_poll 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-2022-1600?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-1600 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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