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CVE Vulnerability Database
Vulnerability Database/CVE-2025-5329

CVE-2025-5329: Delta Course Automation SQL Injection Flaw

CVE-2025-5329 is an SQL injection vulnerability in Delta Course Automation by Martcode Software Inc. Attackers can exploit this flaw to manipulate database queries. This article covers technical details, affected versions, and mitigation.

Published: February 6, 2026

CVE-2025-5329 Overview

CVE-2025-5329 is an SQL Injection vulnerability affecting Martcode Software Inc. Delta Course Automation. The vulnerability allows attackers to inject malicious SQL commands through improper neutralization of special elements used in SQL statements. This weakness (CWE-89) enables unauthorized database access, data manipulation, and potentially complete system compromise.

The vendor was contacted early about this disclosure but did not respond in any way, leaving affected systems potentially without an official patch.

Critical Impact

This SQL Injection vulnerability allows unauthenticated remote attackers to execute arbitrary SQL commands, potentially leading to complete database compromise, data exfiltration, and unauthorized system access.

Affected Products

  • Delta Course Automation through version 04022026
  • Martcode Software Inc. Delta Course Automation (all versions prior to patch)

Discovery Timeline

  • February 4, 2026 - CVE-2025-5329 published to NVD
  • February 4, 2026 - Last updated in NVD database

Technical Details for CVE-2025-5329

Vulnerability Analysis

This SQL Injection vulnerability exists due to improper neutralization of special elements used in SQL commands within the Delta Course Automation application. The flaw allows attackers to manipulate SQL queries by injecting malicious input that is not properly sanitized before being processed by the database.

SQL Injection vulnerabilities of this nature typically occur when user-supplied data is concatenated directly into SQL queries without adequate input validation or parameterized queries. Attackers can exploit this to bypass authentication mechanisms, extract sensitive data, modify database contents, or execute administrative operations on the database server.

The network-accessible attack vector combined with the absence of required privileges or user interaction makes this vulnerability particularly dangerous for internet-facing deployments of Delta Course Automation.

Root Cause

The root cause stems from insufficient input validation and lack of parameterized queries in the Delta Course Automation application. User-controlled input is directly incorporated into SQL statements without proper sanitization, escaping, or the use of prepared statements. This allows attackers to break out of the intended query context and inject arbitrary SQL commands.

Attack Vector

The vulnerability is exploitable remotely over the network without requiring authentication or user interaction. An attacker can craft malicious HTTP requests containing SQL injection payloads targeting vulnerable input fields or parameters within the Delta Course Automation web application.

Typical attack scenarios include:

  • Authentication bypass by manipulating login queries
  • Data exfiltration through UNION-based injection techniques
  • Database manipulation using INSERT, UPDATE, or DELETE statements
  • Potential command execution if database server privileges permit (e.g., xp_cmdshell on SQL Server)

For detailed technical information about this vulnerability, refer to the USOM Security Notification TR-26-0018.

Detection Methods for CVE-2025-5329

Indicators of Compromise

  • Unusual database queries containing SQL syntax characters such as single quotes, double dashes, or UNION statements in application logs
  • Unexpected database errors or verbose error messages exposed in HTTP responses
  • Anomalous data access patterns or bulk data extraction from database servers
  • Authentication log entries showing successful logins without corresponding valid credential attempts

Detection Strategies

  • Deploy Web Application Firewalls (WAF) with SQL injection rule sets to detect and block common injection patterns
  • Implement database activity monitoring to identify anomalous query patterns and unauthorized data access
  • Enable detailed application logging to capture and alert on SQL syntax errors and malformed queries
  • Use SentinelOne's Singularity platform to monitor for post-exploitation behaviors following SQL injection attacks

Monitoring Recommendations

  • Monitor web server access logs for requests containing SQL injection patterns such as ' OR 1=1, UNION SELECT, or comment sequences
  • Establish baseline database query patterns and alert on deviations indicating potential injection attacks
  • Implement real-time alerting for database connection attempts from unexpected sources or with elevated privileges
  • Review application error logs for SQL syntax errors that may indicate injection attempts

How to Mitigate CVE-2025-5329

Immediate Actions Required

  • Restrict network access to Delta Course Automation instances using firewall rules or network segmentation
  • Place a Web Application Firewall (WAF) in front of vulnerable applications with SQL injection prevention rules enabled
  • Review and audit database user permissions to ensure least privilege principles are applied
  • Implement additional authentication layers or VPN requirements for accessing the application
  • Monitor database and application logs for signs of active exploitation

Patch Information

No official patch information is available at this time. The vendor (Martcode Software Inc.) was contacted regarding this disclosure but did not respond. Organizations should contact Martcode Software Inc. directly for patch availability or consider alternative solutions.

For additional details, refer to the USOM Security Notification TR-26-0018.

Workarounds

  • Implement Web Application Firewall (WAF) rules specifically targeting SQL injection patterns for Delta Course Automation endpoints
  • Use network segmentation to isolate the application from direct internet access and limit exposure
  • Deploy input validation at the network edge using reverse proxy configurations to filter malicious payloads
  • Consider taking the application offline if it processes sensitive data until a patch is available
  • Implement database-level query logging and alerting to detect exploitation attempts in real-time
bash
# Example WAF rule for ModSecurity to block common SQL injection patterns
SecRule ARGS "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attempt Detected',\
    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.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechMartcode Course Automation

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • USOM Security Notification TR-26-0018
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