Advanced Library Management System, SQL Injection, CVE-2025-14211 (MEDIUM)

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The vulnerability CVE-2025-14211 is an unauthenticated SQL injection flaw within the `/delete_book.php` endpoint of the Advanced Library Management System version 1.0. The application fails to properly sanitize user-supplied input passed to the `book_id` parameter. An attacker can send a specially crafted HTTP GET or POST request containing malicious SQL code within this parameter. This malicious input is then directly concatenated into an SQL query executed by the database server. Because the application does not use prepared statements or adequate input validation, the injected SQL code is executed in the context of the application’s database. This allows attackers to read, modify, or delete data from the underlying database. The attack can be performed remotely without requiring any form of authentication. Publicly available exploit code demonstrates the injection point and methods for data exfiltration, increasing the risk of widespread attack.

dailycve form:

Platform: Advanced Library Management System
Version: 1.0
Vulnerability: SQL Injection
Severity: MEDIUM
Date: 12/07/2025

Prediction: Expected Patch by 02/07/2026

What Undercode Say:

`curl -X GET “http:///delete_book.php?book_id=1′ OR ‘1’=’1″`

`book_id=1′ UNION SELECT NULL,username,password,NULL FROM users–`

`book_id=1; DROP TABLE books–`

How Exploit:

Attacker sends an HTTP request to `/delete_book.php` with a malicious `book_id` payload. The payload breaks the original SQL query logic and appends arbitrary commands. Exploits can extract sensitive data like user credentials via UNION-based injection. Attackers can also use stacked queries to modify or destroy database contents if the database supports it.

Protection from this CVE:

Implement strict input validation for the `book_id` parameter. Use parameterized queries or prepared statements for all database interactions. Apply the principle of least privilege to the database account used by the application. Deploy a Web Application Firewall (WAF) to filter malicious SQL patterns.

Impact:

Complete compromise of database confidentiality, integrity, and availability. Attackers can steal all stored data, including user login credentials. Malicious actors can alter or permanently delete library records and user data. Serves as an initial access point for further server-side attacks.

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Sources:

Reported By: nvd.nist.gov
Extra Source Hub:
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