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The SQL injection vulnerability resides in the `abs.php` component of Blood Bank Management System 1.0. This file handles search functionality, accepting user input directly into SQL queries without sanitization. The application constructs dynamic queries by concatenating user-supplied data from the search field. An attacker can inject malicious SQL code by manipulating the search parameter. For instance, submitting a payload like `’ OR ‘1’=’1` alters the query logic. The vulnerable code likely uses `$_GET` or `$_POST` to fetch input and embeds it into a string like "SELECT FROM table WHERE field = '" . $input . "'". This allows the attacker to terminate the original string and append arbitrary commands. Injection can lead to authentication bypass by modifying `WHERE` clauses in login queries. The attacker can exploit this to execute `UNION` queries to extract data from other tables. Commands like `’ UNION SELECT username, password FROM users –` can retrieve credentials. The system fails to use prepared statements or input escaping. The vulnerability is network-exploitable with low attack complexity. No authentication is required to launch the attack. Successful exploitation grants unauthorized access to the blood bank database. Attackers can view, modify, or delete sensitive donor and patient records. They may also gain administrative privileges within the system. The flaw is a result of insecure coding practices in PHP. It exemplifies classic injection where user control flows directly to database. Tools like SQLmap can automate detection and exploitation. The impact is severe due to direct access to critical healthcare data.
Platform: Blood Bank Management
Version: 1.0
Vulnerability: SQL Injection
Severity: Critical
Date: 12/01/2025
Prediction: Patch expected 12/15/2025
What Undercode Say:
Analytics:
sqlmap -u “http://target/abs.php?search=test” –dbs
curl “http://target/abs.php?search=’ OR ‘1’=’1”
$search = $_GET[‘search’];
$sql = “SELECT FROM donors WHERE name LIKE ‘%$search%'”;
How Exploit:
Inject ‘ OR ‘1’=’1
Use UNION SELECT payloads
Bypass login mechanisms
Protection from this CVE:
Use parameterized queries
Implement input validation
Deploy a WAF
Impact:
Unauthorized system access
Sensitive data exposure
Database compromise
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Sources:
Reported By: nvd.nist.gov
Extra Source Hub:
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