CVE-2025-63535 Overview
A SQL injection vulnerability exists in the Blood Bank Management System 1.0 within the abs.php component. The application fails to properly sanitize user-supplied input in SQL queries, allowing an attacker to inject arbitrary SQL code. By manipulating the search field, an attacker can bypass authentication and gain unauthorized access to the system.
This high-severity SQL injection flaw (CWE-89) enables network-based attackers with low privileges to compromise the confidentiality, integrity, and availability of the affected system without requiring user interaction.
Critical Impact
Attackers can bypass authentication, extract sensitive data from the database, and potentially gain full unauthorized access to the Blood Bank Management System through SQL injection in the abs.php component.
Affected Products
- Shridharshukl Blood Bank Management System 1.0
- cpe:2.3:a:shridharshukl:blood_bank_management_system:1.0:*:*:*:*:*:*:*
Discovery Timeline
- December 01, 2025 - CVE-2025-63535 published to NVD
- December 03, 2025 - Last updated in NVD database
Technical Details for CVE-2025-63535
Vulnerability Analysis
CVE-2025-63535 is a SQL injection vulnerability with a CVSS 3.1 score of 8.8 (High). The vulnerability is characterized by the following CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.
The attack vector is Network-based with Low attack complexity, requiring only Low privileges and No user interaction. The impact is significant across all three security pillars:
- Confidentiality Impact: High - Attackers can extract sensitive data including patient records, donor information, and system credentials
- Integrity Impact: High - Database records can be modified, deleted, or corrupted
- Availability Impact: High - The system can be rendered unavailable through destructive SQL operations
Based on EPSS data, this vulnerability has a 0.077% probability of exploitation in the wild, placing it in the 23rd percentile of all scored vulnerabilities.
Root Cause
The root cause of this vulnerability lies in the improper handling of user input within the abs.php component of the Blood Bank Management System. The application directly concatenates user-supplied data into SQL queries without proper sanitization, parameterization, or the use of prepared statements.
When user input from the search field is passed directly to the database query engine, it allows attackers to break out of the intended query structure and inject malicious SQL statements. This is a classic example of CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).
Attack Vector
The attack can be executed remotely over the network by any authenticated user with low-level privileges. The attacker targets the search field within the abs.php component, injecting SQL metacharacters and commands that are interpreted by the database engine.
The vulnerability manifests when the application constructs dynamic SQL queries using unsanitized input from the search field. An attacker can craft malicious input containing SQL syntax that alters the query's logic, enabling authentication bypass or data extraction. For detailed technical analysis, refer to the third-party security advisory.
Detection Methods for CVE-2025-63535
Indicators of Compromise
- Unusual SQL error messages appearing in application logs or web responses
- Unexpected database queries containing SQL metacharacters (e.g., single quotes, UNION statements, OR 1=1 patterns)
- Authentication bypasses or unauthorized access to protected areas of the Blood Bank Management System
- Database audit logs showing suspicious SELECT, UPDATE, DELETE, or DROP operations
- Web server logs containing encoded SQL injection payloads in request parameters
Detection Strategies
Organizations can implement the following detection strategies to identify exploitation attempts:
- Web Application Firewall (WAF) Rules: Deploy WAF rules to detect and block SQL injection patterns in HTTP requests targeting the abs.php endpoint
- Database Activity Monitoring: Monitor database queries for anomalous patterns, including UNION-based injections, time-based blind SQL injection attempts, and error-based extraction techniques
- Log Analysis: Implement real-time log analysis for web server access logs, looking for requests containing SQL injection payloads
- Intrusion Detection Systems: Configure IDS/IPS signatures to detect SQL injection attack patterns in network traffic
Monitoring Recommendations
- Enable verbose logging on the web application server and database server
- Implement alerting for failed authentication attempts followed by successful access
- Monitor for unusual data access patterns that may indicate data exfiltration
- Set up real-time monitoring for database query patterns that deviate from baseline behavior
- Deploy SentinelOne Singularity XDR for comprehensive endpoint detection and response capabilities that can identify post-exploitation activities
How to Mitigate CVE-2025-63535
Immediate Actions Required
- Restrict network access to the Blood Bank Management System to trusted IP addresses only
- Implement a Web Application Firewall (WAF) with SQL injection protection rules
- Apply input validation on all user-supplied data before processing
- Review and audit all access logs for signs of prior exploitation
- Consider taking the application offline if it contains sensitive data until proper remediation is implemented
Patch Information
As of the last modification date (December 03, 2025), no official vendor patch has been announced. Organizations should monitor the vendor's GitHub repository for updates: Blood Bank Management System GitHub.
In the absence of an official patch, organizations should implement the workarounds described below or consider migrating to a more secure blood bank management solution.
Workarounds
Until an official patch is available, implement the following compensating controls:
The most effective workaround is to implement parameterized queries (prepared statements) in the abs.php file. This prevents user input from being interpreted as SQL code. Additionally, deploy input validation to reject any input containing SQL metacharacters.
# Example: Restrict access to abs.php via Apache .htaccess
<Files "abs.php">
Order Deny,Allow
Deny from all
Allow from 192.168.1.0/24
</Files>
# Example: ModSecurity WAF rule to block SQL injection
SecRule ARGS "@detectSQLi" "id:1001,deny,status:403,msg:'SQL Injection Detected'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

