CVE-2025-57145

MEDIUM
2025-09-16 [email protected]
5.4
CVSS 3.1
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CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
Required
Scope
Changed
Confidentiality
Low
Integrity
Low
Availability
None

Lifecycle Timeline

2
Analysis Generated
Mar 28, 2026 - 19:12 vuln.today
CVE Published
Sep 16, 2025 - 15:15 nvd
MEDIUM 5.4

DescriptionNVD

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.

AnalysisAI

A cross-site scripting (XSS) vulnerability exists in the search-autootaxi.php endpoint of the ATSMS web application. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Cross-Site Scripting (XSS) (CWE-79), which allows attackers to inject malicious scripts into web pages viewed by other users. 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. Affected products include: Phpgurukul Auto Taxi Stand Management System.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Sanitize all user input, use Content-Security-Policy headers, encode output contextually (HTML, JS, URL). Use frameworks with built-in XSS protection.

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CVE-2025-57145 vulnerability details – vuln.today

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