CVE-2024-4293
3.5 · LOWOverview
CVE-2024-4293 is a low-severity vulnerability affecting phpgurukul doctor_appointment_management_system. It was published on April 27, 2024 and has a CVSS 3.1 base score of 3.5 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A vulnerability classified as problematic was found in PHPGurukul Doctor Appointment Management System 1.0. Affected by this vulnerability is an unknown functionality of the file appointment-bwdates-reports-details.php. The manipulation of the argument fromdate/todate leads to cross site scripting. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-262225 was assigned to this vulnerability.
Remediation
Check the references section for vendor advisories and patches from phpgurukul. Update doctor_appointment_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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References
Frequently Asked Questions
What is CVE-2024-4293?
CVE-2024-4293 is a low-severity vulnerability affecting phpgurukul doctor_appointment_management_system. It was published on April 27, 2024 and has a CVSS 3.1 base score of 3.5 (LOW).
How severe is CVE-2024-4293?
This vulnerability has a CVSS 3.1 base score of 3.5, 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-2024-4293?
Check the references section for vendor advisories and patches from phpgurukul. Update doctor_appointment_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-2024-4293?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-4293 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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