CVE-2024-51208
7.2 · HIGHOverview
CVE-2024-51208 is a high-severity vulnerability affecting phpgurukul boat_booking_system. It was published on November 20, 2024 and has a CVSS 3.1 base score of 7.2 (HIGH).
This vulnerability has a CVSS 3.1 base score of 7.2, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
File Upload vulnerability in change-image.php in Anuj Kumar's Boat Booking System version 1.0 allows local attackers to upload a malicious PHP script via the Image Upload Mechanism parameter.
Remediation
Check the references section for vendor advisories and patches from phpgurukul. Update boat_booking_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
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Frequently Asked Questions
What is CVE-2024-51208?
CVE-2024-51208 is a high-severity vulnerability affecting phpgurukul boat_booking_system. It was published on November 20, 2024 and has a CVSS 3.1 base score of 7.2 (HIGH).
How severe is CVE-2024-51208?
This vulnerability has a CVSS 3.1 base score of 7.2, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2024-51208?
Check the references section for vendor advisories and patches from phpgurukul. Update boat_booking_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-2024-51208?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-51208 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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