CVE-2025-2093
3.1 · LOWOverview
CVE-2025-2093 is a low-severity vulnerability affecting phpgurukul online_library_management_system. It was published on March 7, 2025 and has a CVSS 3.1 base score of 3.1 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.1, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A vulnerability was found in PHPGurukul Online Library Management System 3.0. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file /change-password.php. The manipulation of the argument email/phone number leads to weak password recovery. The attack can be launched remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used.
Remediation
Check the references section for vendor advisories and patches from phpgurukul. Update online_library_management_system 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-2025-2093?
CVE-2025-2093 is a low-severity vulnerability affecting phpgurukul online_library_management_system. It was published on March 7, 2025 and has a CVSS 3.1 base score of 3.1 (LOW).
How severe is CVE-2025-2093?
This vulnerability has a CVSS 3.1 base score of 3.1, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-2093?
Check the references section for vendor advisories and patches from phpgurukul. Update online_library_management_system 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-2025-2093?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-2093 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.
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