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CVE Vulnerability Database

CVE-2025-6520: BAPSIS SQL Injection Vulnerability

CVE-2025-6520 is a blind SQL injection vulnerability in Abis Technology BAPSIS that allows attackers to extract sensitive database information. This article covers the technical details, affected versions, and mitigation.

Published:

CVE-2025-6520 Overview

CVE-2025-6520 is a critical SQL Injection vulnerability affecting Abis Technology BAPSIS, a business application software platform. The vulnerability arises from improper neutralization of special elements used in SQL commands, allowing attackers to perform Blind SQL Injection attacks against vulnerable installations. This flaw enables unauthenticated remote attackers to extract, modify, or delete sensitive data from backend databases.

Critical Impact

This vulnerability allows unauthenticated attackers to execute arbitrary SQL queries against the database, potentially leading to complete data breach, unauthorized data manipulation, and full system compromise.

Affected Products

  • Abis Technology BAPSIS versions before 202510271606

Discovery Timeline

  • 2025-10-31 - CVE-2025-6520 published to NVD
  • 2025-11-04 - Last updated in NVD database

Technical Details for CVE-2025-6520

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command). The flaw exists due to insufficient input validation and sanitization in BAPSIS, allowing attackers to inject malicious SQL code through user-controllable input fields. Since this is a Blind SQL Injection vulnerability, attackers cannot directly observe the results of their queries but can infer information through the application's response behavior, timing differences, or error messages.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without any authentication or user interaction. Successful exploitation can lead to unauthorized access to confidential data, modification of database records, and in some cases, execution of administrative operations on the database server.

Root Cause

The root cause of CVE-2025-6520 stems from inadequate input sanitization mechanisms within BAPSIS. User-supplied data is incorporated directly into SQL queries without proper parameterization or escaping of special SQL characters. This allows malicious input containing SQL syntax to alter the intended query logic, enabling attackers to bypass security controls and interact directly with the underlying database.

Attack Vector

The vulnerability is exploitable via network-based attacks targeting the BAPSIS application interface. Attackers can craft specially formatted requests containing SQL injection payloads that are processed by the application and executed against the database. The Blind SQL Injection technique involves:

  1. Sending crafted input with conditional SQL statements
  2. Observing application response variations (timing delays, different content, or error messages)
  3. Systematically extracting database contents character by character through inference

Since the vulnerability requires no authentication and no user interaction, automated tools can rapidly exploit this flaw to enumerate database schema, extract sensitive records, or escalate access within the application.

Detection Methods for CVE-2025-6520

Indicators of Compromise

  • Unusual database query patterns showing conditional logic injection attempts
  • Increased database response times indicating time-based blind SQL injection probes
  • Web application logs containing SQL syntax characters in unexpected input fields (e.g., ', ", --, OR 1=1, WAITFOR DELAY)
  • Database audit logs showing unauthorized data access or extraction patterns

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns
  • Enable database query logging and monitor for anomalous query structures
  • Deploy intrusion detection systems with SQL injection signature sets
  • Utilize SentinelOne Singularity platform for real-time threat detection and automated response to exploitation attempts

Monitoring Recommendations

  • Review BAPSIS application logs for suspicious request patterns targeting input fields
  • Monitor database connections for unexpected query volumes or unusual access patterns
  • Set up alerting for database errors that may indicate injection attempts
  • Track network traffic to BAPSIS servers for reconnaissance and exploitation activity

How to Mitigate CVE-2025-6520

Immediate Actions Required

  • Upgrade Abis Technology BAPSIS to version 202510271606 or later immediately
  • If immediate patching is not possible, restrict network access to the BAPSIS application
  • Implement web application firewall rules to filter SQL injection payloads
  • Audit database access logs for evidence of prior exploitation attempts

Patch Information

Abis Technology has addressed this vulnerability in BAPSIS version 202510271606. Organizations should update to this version or later to remediate CVE-2025-6520. For detailed patch information, refer to the USOM Security Notification TR-25-0365.

Workarounds

  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of BAPSIS
  • Implement network segmentation to limit access to BAPSIS from trusted networks only
  • Disable or restrict access to vulnerable application endpoints until patching is complete
  • Enable enhanced database logging and monitoring to detect exploitation attempts
bash
# Example WAF rule concept for SQL injection mitigation
# Add rules to block common SQL injection patterns in application inputs
# Consult your WAF vendor documentation for specific configuration syntax

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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