CVE-2025-0484
7.3 · HIGHOverview
CVE-2025-0484 is a high-severity vulnerability affecting fanli2012 native-php-cms. It was published on January 15, 2025 and has a CVSS 3.1 base score of 7.3 (HIGH).
This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
A vulnerability was found in Fanli2012 native-php-cms 1.0 and classified as critical. This issue affects some unknown processing of the file /fladmin/sysconfig_doedit.php of the component Backend. The manipulation leads to improper authorization. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used.
Remediation
Check the references section for vendor advisories and patches from fanli2012. Update native-php-cms 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 |
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Frequently Asked Questions
What is CVE-2025-0484?
CVE-2025-0484 is a high-severity vulnerability affecting fanli2012 native-php-cms. It was published on January 15, 2025 and has a CVSS 3.1 base score of 7.3 (HIGH).
How severe is CVE-2025-0484?
This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2025-0484?
Check the references section for vendor advisories and patches from fanli2012. Update native-php-cms 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-2025-0484?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-0484 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.
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