CVE-2025-57145
5.4 · MEDIUMOverview
CVE-2025-57145 is a medium-severity vulnerability affecting phpgurukul auto_taxi_stand_management_system. It was published on September 16, 2025 and has a CVSS 3.1 base score of 5.4 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A cross-site scripting (XSS) vulnerability exists in the search-autootaxi.php endpoint of the ATSMS web application. The application fails to properly sanitize user input submitted through a form field, allowing an attacker to inject arbitrary JavaScript code. The malicious payload is stored in the backend and executed when a user or administrator accesses the affected report page. This allows attackers to exfiltrate session cookies, hijack user sessions, and perform unauthorized actions in the context of the victims browser.
Remediation
Check the references section for vendor advisories and patches from phpgurukul. Update auto_taxi_stand_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-2025-57145?
CVE-2025-57145 is a medium-severity vulnerability affecting phpgurukul auto_taxi_stand_management_system. It was published on September 16, 2025 and has a CVSS 3.1 base score of 5.4 (MEDIUM).
How severe is CVE-2025-57145?
This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-57145?
Check the references section for vendor advisories and patches from phpgurukul. Update auto_taxi_stand_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-2025-57145?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-57145 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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