CVE-2025-3309 Overview
A SQL injection vulnerability has been identified in the Blood Bank Management System version 1.0 developed by code-projects. The vulnerability exists within the /admin/campsdetails.php file, where the hospital parameter is susceptible to SQL injection attacks. This flaw allows remote attackers to manipulate database queries by injecting malicious SQL code through user-supplied input, potentially leading to unauthorized data access, modification, or deletion.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive patient and donor information, modify blood bank records, or potentially compromise the underlying database server.
Affected Products
- Adonesevangelista Online Blood Bank Management System version 1.0
- Blood Bank Management System /admin/campsdetails.php component
- Systems running code-projects Blood Bank Management System 1.0
Discovery Timeline
- 2025-04-06 - CVE-2025-3309 published to NVD
- 2025-05-28 - Last updated in NVD database
Technical Details for CVE-2025-3309
Vulnerability Analysis
This SQL injection vulnerability occurs in the administrative interface of the Blood Bank Management System, specifically within the campsdetails.php file. The application fails to properly sanitize user input supplied through the hospital parameter before incorporating it into SQL queries. This classic injection flaw (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) enables attackers to alter the intended SQL query logic.
The vulnerability can be exploited remotely without authentication, making it accessible to any attacker with network access to the application. The exploit has been publicly disclosed, increasing the risk of exploitation in the wild. Successful exploitation could compromise the confidentiality, integrity, and availability of sensitive blood bank data including donor information, patient records, and blood inventory details.
Root Cause
The root cause of this vulnerability is improper input validation and the lack of parameterized queries or prepared statements in the application code. The hospital parameter value is directly concatenated into SQL queries without sanitization, escaping, or validation. This coding practice allows attackers to inject arbitrary SQL commands that the database server will execute with the same privileges as the application.
Attack Vector
The attack is network-based and can be launched remotely against exposed Blood Bank Management System installations. An attacker crafts malicious HTTP requests to the /admin/campsdetails.php endpoint, including SQL injection payloads in the hospital parameter. The injected SQL code is then executed by the database, allowing the attacker to:
- Extract sensitive data from the database
- Bypass authentication mechanisms
- Modify or delete database records
- Potentially escalate to remote code execution depending on database configuration
The vulnerability requires no user interaction and can be exploited with low attack complexity, as the injection point is straightforward and the payload delivery mechanism is simple HTTP requests.
Detection Methods for CVE-2025-3309
Indicators of Compromise
- Unusual or malformed HTTP requests to /admin/campsdetails.php containing SQL syntax characters such as single quotes, double dashes, or UNION statements
- Database error messages appearing in application logs or responses indicating SQL syntax errors
- Unexpected database queries or data extraction patterns in database audit logs
- Anomalous network traffic to the Blood Bank Management System administrative interface
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the hospital parameter
- Implement database activity monitoring to identify suspicious query patterns including UNION-based, time-based, or error-based injection attempts
- Configure intrusion detection systems (IDS) to alert on HTTP requests containing common SQL injection signatures
- Enable application-level logging to capture and analyze requests to vulnerable endpoints
Monitoring Recommendations
- Monitor web server access logs for requests to /admin/campsdetails.php with suspicious parameter values
- Set up alerting for database errors that may indicate injection attempts
- Review database query logs for unauthorized SELECT, UPDATE, DELETE, or administrative operations
- Implement real-time monitoring for data exfiltration patterns from the blood bank database
How to Mitigate CVE-2025-3309
Immediate Actions Required
- Restrict network access to the Blood Bank Management System administrative interface using firewall rules or network segmentation
- Implement a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
- Consider taking the vulnerable application offline if it contains sensitive data and cannot be adequately protected
- Audit database access logs to determine if the vulnerability has already been exploited
Patch Information
No official patch information is currently available from the vendor. Organizations using this software should monitor the Code Projects Resource Hub for security updates. Additional technical details regarding this vulnerability can be found in the GitHub Issue for CVE-26 and VulDB #303506.
Workarounds
- Implement input validation and sanitization for the hospital parameter at the application level before processing requests
- Deploy a reverse proxy or WAF to filter malicious SQL injection payloads before they reach the application
- Restrict database user privileges to limit the potential impact of successful exploitation
- Apply network-level access controls to limit exposure of the administrative interface to trusted IP addresses only
- Consider migrating to a more actively maintained blood bank management solution if no patch becomes available
# Example WAF rule to block SQL injection attempts (ModSecurity format)
SecRule ARGS:hospital "@detectSQLi" \
"id:100001,\
phase:2,\
block,\
msg:'SQL Injection attempt detected in hospital parameter',\
logdata:'Matched Data: %{MATCHED_VAR}',\
severity:'CRITICAL'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

