CVE-2025-9953: Databank Accreditation Software SQLi Vuln

CVE-2025-9953 Overview

CVE-2025-9953 is an Authorization Bypass Through User-Controlled SQL Primary Key vulnerability affecting DATABASE Software Training Consulting Ltd. Databank Accreditation Software. This critical vulnerability allows attackers to perform SQL Injection attacks by manipulating user-controlled SQL primary keys, potentially leading to unauthorized access, data exfiltration, and complete database compromise.

Critical Impact

This vulnerability enables unauthenticated attackers to bypass authorization controls and execute arbitrary SQL commands, potentially compromising the entire database and any sensitive accreditation data stored within.

Affected Products

• Databank Accreditation Software versions through 19022026

Discovery Timeline

• 2026-02-19 - CVE-2025-9953 published to NVD
• 2026-02-19 - Last updated in NVD database

Technical Details for CVE-2025-9953

Vulnerability Analysis

This vulnerability belongs to CWE-566 (Authorization Bypass Through User-Controlled SQL Primary Key), a class of security flaws where applications allow users to directly influence SQL primary key values used in authorization decisions. When applications fail to properly validate or sanitize user-supplied primary key values before incorporating them into database queries, attackers can manipulate these values to access unauthorized records or bypass access control mechanisms entirely.

The Databank Accreditation Software fails to properly validate user-controlled input that directly maps to SQL primary keys, creating a pathway for SQL Injection attacks. This architectural flaw allows remote attackers to craft malicious requests that manipulate database queries, potentially accessing, modifying, or deleting records they should not have permission to interact with.

Root Cause

The root cause of this vulnerability stems from inadequate input validation and improper handling of user-supplied values that are used as SQL primary keys. The application directly incorporates user-controlled data into database queries without proper sanitization, parameterized queries, or authorization checks that are independent of the user-supplied key values.

This design flaw violates the principle of least privilege by trusting user input to determine data access scope, rather than implementing server-side authorization checks based on authenticated user permissions.

Attack Vector

The attack vector for CVE-2025-9953 is network-based, requiring no authentication or user interaction. An attacker can exploit this vulnerability remotely by sending specially crafted requests to the vulnerable application. The attack complexity is low, making it accessible to attackers with basic SQL Injection knowledge.

The exploitation involves manipulating input fields that correspond to SQL primary keys, allowing attackers to:

• Access records belonging to other users or organizations
• Modify or delete data without proper authorization
• Execute arbitrary SQL commands through injection payloads
• Potentially escalate access to underlying database server functionality

Since the vulnerability allows SQL Injection, successful exploitation could lead to complete database compromise with full read and write access to all stored data.

Detection Methods for CVE-2025-9953

Indicators of Compromise

• Unusual SQL query patterns in application logs containing unexpected primary key values or SQL syntax characters
• Database error messages in application responses indicating SQL parsing failures
• Access log entries showing sequential or enumerated primary key probing attempts
• Unexpected data access patterns where users retrieve records outside their normal scope

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect SQL Injection patterns in request parameters
• Monitor database query logs for anomalous queries, especially those with unexpected WHERE clause modifications
• Deploy database activity monitoring to alert on queries accessing records outside normal user boundaries
• Enable detailed application logging to capture all database-related requests and responses

Monitoring Recommendations

• Configure real-time alerting for SQL syntax errors returned by the application
• Implement user behavior analytics to detect abnormal data access patterns
• Monitor for bulk data extraction attempts that may indicate successful exploitation
• Track failed authorization attempts that could indicate enumeration or bypass attempts

How to Mitigate CVE-2025-9953

Immediate Actions Required

• Restrict network access to the Databank Accreditation Software to trusted networks only until a patch is available
• Implement additional WAF rules to filter SQL Injection attempts targeting the application
• Review and audit access logs for any signs of prior exploitation
• Consider taking the affected application offline if it processes sensitive accreditation data and cannot be adequately protected

Patch Information

At the time of disclosure, the vendor (DATABASE Software Training Consulting Ltd.) was contacted but did not respond. No official patch has been released. Organizations using Databank Accreditation Software versions through 19022026 should contact the vendor directly for remediation guidance and monitor the USOM Security Notification TR-26-0078 for updates.

Workarounds

• Deploy a reverse proxy or WAF with SQL Injection detection capabilities in front of the application
• Implement network segmentation to limit access to the vulnerable application from untrusted networks
• Enable database audit logging and implement alerting for suspicious query patterns
• If possible, implement application-level input validation at the network boundary to sanitize SQL-related characters

# Example WAF rule configuration for SQL Injection protection
# Block requests containing common SQL injection patterns
SecRule ARGS "@rx (?i)(\%27)|(\')|(\-\-)|(\%23)|(#)" \
    "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected'"

# Block UNION-based SQL injection attempts
SecRule ARGS "@rx (?i)(union\s+select)" \
    "id:1002,phase:2,deny,status:403,msg:'UNION SQL Injection Attempt'"