CVE-2024-35353
9.8 · CRITICALOverview
CVE-2024-35353 is a critical-severity vulnerability affecting dino_physics_school_assistant_project dino_physics_school_assistant. It was published on May 30, 2024 and has a CVSS 3.1 base score of 9.8 (CRITICAL).
This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
A vulnerability has been discovered in Diño Physics School Assistant version 2.3. The vulnerability impacts an unidentified code within the file /classes/Users.php?f=save. Manipulating the argument id can result in improper authorization.
Remediation
Check the references section for vendor advisories and patches from dino_physics_school_assistant_project. Update dino_physics_school_assistant 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-2024-35353?
CVE-2024-35353 is a critical-severity vulnerability affecting dino_physics_school_assistant_project dino_physics_school_assistant. It was published on May 30, 2024 and has a CVSS 3.1 base score of 9.8 (CRITICAL).
How severe is CVE-2024-35353?
This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2024-35353?
Check the references section for vendor advisories and patches from dino_physics_school_assistant_project. Update dino_physics_school_assistant 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-2024-35353?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-35353 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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