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CVE Vulnerability Database
Vulnerability Database/CVE-2019-25347

CVE-2019-25347: thesystem App 1.0 SQLi Vulnerability

CVE-2019-25347 is a SQL injection flaw in thesystem App 1.0 that enables attackers to bypass authentication via username manipulation. This post covers technical details, affected versions, impact, and mitigation.

Published: February 13, 2026

CVE-2019-25347 Overview

CVE-2019-25347 is a SQL injection vulnerability affecting thesystem App version 1.0. The vulnerability exists in the authentication mechanism, specifically in the username parameter handling. Attackers can exploit this flaw by injecting malicious SQL code (such as ' or '1=1) into the username field, allowing them to bypass authentication and gain unauthorized access to user accounts.

Critical Impact

This SQL injection vulnerability enables complete authentication bypass, allowing attackers to access any user account without valid credentials. Successful exploitation could lead to unauthorized data access, account takeover, and potential data exfiltration.

Affected Products

  • thesystem App 1.0

Discovery Timeline

  • 2026-02-12 - CVE-2019-25347 published to NVD
  • 2026-02-12 - Last updated in NVD database

Technical Details for CVE-2019-25347

Vulnerability Analysis

This vulnerability is classified under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command), commonly known as SQL Injection. The application fails to properly sanitize user-supplied input in the username parameter before incorporating it into SQL queries used for authentication.

When a user submits login credentials, the application directly concatenates the username value into the SQL query without adequate input validation or parameterized queries. This allows an attacker to break out of the intended query structure and inject arbitrary SQL commands.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without requiring any prior authentication, making it particularly dangerous for internet-facing deployments.

Root Cause

The root cause of CVE-2019-25347 is the lack of proper input sanitization and the use of dynamic SQL query construction in the authentication logic. Instead of using parameterized queries or prepared statements that properly escape user input, the application directly embeds user-controlled data into SQL statements. This fundamental security flaw allows attackers to manipulate the query logic by injecting SQL metacharacters and commands.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no user interaction. An attacker can exploit this vulnerability by:

  1. Navigating to the application's login page
  2. Entering a specially crafted SQL injection payload in the username field (e.g., ' or '1=1)
  3. Submitting the form, which causes the backend to execute the malicious SQL query
  4. Bypassing authentication and gaining access to user accounts

The exploitation is straightforward as the injected SQL modifies the authentication query's WHERE clause to always evaluate as true, effectively bypassing the password check. For detailed technical information, refer to the Exploit-DB #47432 entry and the VulnCheck SQL Injection Advisory.

Detection Methods for CVE-2019-25347

Indicators of Compromise

  • Unusual login patterns with suspicious characters in authentication logs (e.g., single quotes, OR statements, 1=1 patterns)
  • Multiple successful authentications from unusual IP addresses or geolocations
  • Database query errors or anomalies in application logs indicating SQL syntax issues
  • Unexpected access to accounts without corresponding valid authentication attempts

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in login requests
  • Monitor authentication logs for usernames containing SQL metacharacters (', ", --, ;, OR, AND)
  • Deploy intrusion detection systems (IDS) with signatures for SQL injection attack patterns
  • Enable database query logging and alert on queries with suspicious syntax anomalies

Monitoring Recommendations

  • Configure real-time alerting for authentication attempts containing SQL injection indicators
  • Establish baseline authentication patterns and alert on deviations
  • Monitor database access patterns for unauthorized data retrieval following authentication events
  • Review application and web server logs regularly for signs of injection attempts

How to Mitigate CVE-2019-25347

Immediate Actions Required

  • Upgrade thesystem App to a patched version if available, or implement compensating controls immediately
  • Deploy WAF rules to filter SQL injection patterns targeting the login functionality
  • Implement network-level access controls to restrict access to the vulnerable application
  • Audit recent authentication logs for signs of exploitation

Patch Information

Check the GitHub Repository for TheSystem for any security updates or patches addressing this vulnerability. Review the VulnCheck SQL Injection Advisory for additional remediation guidance.

Workarounds

  • Implement input validation to reject usernames containing SQL metacharacters (quotes, semicolons, double dashes)
  • Deploy a Web Application Firewall (WAF) with SQL injection protection enabled
  • If modifying source code is possible, refactor authentication queries to use parameterized statements or prepared queries
  • Consider adding rate limiting on authentication endpoints to slow down automated exploitation attempts
  • Implement account lockout policies to mitigate brute-force variations of SQL injection attacks

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechThesystem

  • SeverityHIGH

  • CVSS Score7.1

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-89
  • Technical References
  • GitHub Repository for TheSystem

  • Exploit-DB #47432

  • VulnCheck SQL Injection Advisory
  • Related CVEs
  • CVE-2019-25346: TheSystem 1.0 SQL Injection Vulnerability

  • CVE-2019-25441: thesystem 1.0 RCE Vulnerability

  • CVE-2019-25311: thesystem XSS Vulnerability
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