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PHP CVE-2025-5663

| EUVDEUVD-2025-16995 HIGH
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') (CWE-74)
2025-06-05 cna@vuldb.com
7.3
CVSS 3.1 · NVD
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Severity by source

NVD PRIMARY
7.3 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
Low

Lifecycle Timeline

4
EUVD ID Assigned
Mar 14, 2026 - 17:53 euvd
EUVD-2025-16995
Analysis Generated
Mar 14, 2026 - 17:53 vuln.today
PoC Detected
Jun 06, 2025 - 18:43 vuln.today
Public exploit code
CVE Published
Jun 05, 2025 - 14:15 nvd
HIGH 7.3

DescriptionCVE.org

A vulnerability has been found in PHPGurukul Auto Taxi Stand Management System 1.0 and classified as critical. This vulnerability affects unknown code of the file /admin/search-autoortaxi.php. The manipulation of the argument searchdata leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.

AnalysisAI

Critical SQL injection vulnerability in PHPGurukul Auto Taxi Stand Management System version 1.0, specifically in the /admin/search-autoortaxi.php file's 'searchdata' parameter. An unauthenticated remote attacker can exploit this to execute arbitrary SQL queries, potentially leading to unauthorized data access, modification, or deletion. The vulnerability has been publicly disclosed with exploit proof-of-concept code available, creating immediate risk of active exploitation.

Technical ContextAI

The vulnerability stems from CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component, a variant of improper input validation leading to SQL injection). The affected application is PHPGurukul Auto Taxi Stand Management System 1.0, a PHP-based web application for managing taxi stand operations. The vulnerable code path exists in the administrative search functionality (/admin/search-autoortaxi.php), where user-supplied input via the 'searchdata' parameter is passed directly into SQL queries without proper sanitization or parameterized query preparation. This classic SQL injection flaw allows attackers to inject malicious SQL syntax to manipulate query logic.

RemediationAI

Immediate actions: (1) Patch to a patched version if PHPGurukul releases one—monitor vendor's official website/GitHub repository for updates (no specific patch version identified in available intelligence); (2) If patching is delayed, implement Web Application Firewall (WAF) rules to block SQL injection patterns in the 'searchdata' parameter (detect common SQL keywords: UNION, SELECT, OR, DROP, etc.); (3) Apply input validation: whitelist allowed characters for search queries, reject inputs containing SQL metacharacters; (4) Use parameterized prepared statements in the search-autoortaxi.php code; (5) Implement rate-limiting and authentication enforcement on the /admin/ path to restrict access; (6) Conduct a database audit to detect unauthorized access or data exfiltration post-disclosure. Until patched, restrict administrative console access via IP whitelisting or VPN.

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CVE-2025-5663 vulnerability details – vuln.today

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