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Vulnerability Database/CVE-2026-19425

CVE-2026-19425: Travel Agency Management System SQLi

CVE-2026-19425 is a SQL injection vulnerability in Travel Agency Management System by Win Men International. Unauthenticated attackers can execute arbitrary SQL commands to compromise database security.

Published:

CVE-2026-19425 Overview

CVE-2026-19425 is a SQL Injection vulnerability [CWE-89] in the Travel Agency Management System developed by Win Men International. Unauthenticated remote attackers can inject arbitrary SQL commands through vulnerable input parameters. Successful exploitation allows adversaries to read, modify, and delete database contents.

The vulnerability requires no authentication, no user interaction, and is exploitable across the network. It affects the confidentiality, integrity, and availability of the underlying database, exposing customer records, booking data, and payment-related information stored by travel agencies using the platform.

Critical Impact

Unauthenticated remote attackers can execute arbitrary SQL statements against the application database, resulting in full disclosure, modification, and deletion of stored records.

Affected Products

  • Win Men International Travel Agency Management System (see TWCert Security Advisory for affected versions)
  • Deployments exposing the application to untrusted networks are at highest risk
  • Refer to the vendor advisory for the definitive list of affected releases

Discovery Timeline

  • 2026-08-11 - CVE-2026-19425 published to NVD
  • 2026-08-12 - Last updated in NVD database

Technical Details for CVE-2026-19425

Vulnerability Analysis

The Travel Agency Management System fails to properly sanitize user-supplied input before incorporating it into SQL statements. Attackers submit crafted parameters that break out of the intended query context and append arbitrary SQL clauses. Because no authentication is required, any remote client capable of reaching the web application can trigger the flaw.

The vulnerability class corresponds to CWE-89: Improper Neutralization of Special Elements used in an SQL Command. Exploitation yields direct read and write access to the backend database, including the ability to enumerate schemas, extract records, alter rows, and drop tables. Depending on database privileges, attackers may also pivot to command execution through database-native features.

Root Cause

The root cause is the concatenation of untrusted input into SQL query strings without parameterized statements or prepared queries. Input validation and output encoding are either missing or insufficient at the affected endpoints. See the TWCert Incident Report for additional context.

Attack Vector

An unauthenticated remote attacker sends HTTP requests containing malicious SQL payloads to vulnerable endpoints of the Travel Agency Management System. The injected payload manipulates the intended query and returns attacker-controlled results, modifies existing rows, or deletes records. Typical payloads use UNION SELECT, boolean-based blind, time-based blind, or stacked query techniques depending on the injection context.

Detailed exploitation code is not publicly documented in the referenced advisories. Refer to the TWCert Security Advisory for the vendor's technical description.

Detection Methods for CVE-2026-19425

Indicators of Compromise

  • Web server access logs containing SQL metacharacters such as ', --, ;, UNION, SELECT, SLEEP(, or BENCHMARK( in request parameters
  • Unusual outbound database query patterns, long-running queries, or repeated errors originating from the application's database user
  • Unexpected creation, modification, or deletion of records in booking, customer, or authentication tables
  • Anomalous spikes in HTTP 500 responses from application endpoints handling database queries

Detection Strategies

  • Deploy a Web Application Firewall (WAF) with SQL injection signatures in blocking mode in front of the application
  • Enable database query logging and alert on syntactically abnormal statements originating from the application service account
  • Correlate HTTP request patterns with database audit logs to identify injection attempts that reach the backend

Monitoring Recommendations

  • Baseline normal query volume and structure per endpoint, then alert on deviations
  • Monitor for authentication table changes and administrative record modifications outside change windows
  • Forward web, application, and database logs to a centralized analytics platform for correlation and retention

How to Mitigate CVE-2026-19425

Immediate Actions Required

  • Apply the vendor-supplied patch referenced in the TWCert Security Advisory as soon as it is available
  • Restrict network exposure of the Travel Agency Management System to trusted networks or VPN access until patched
  • Rotate database credentials and audit privileged accounts for signs of misuse
  • Review database contents for unauthorized modifications and restore from clean backups if tampering is confirmed

Patch Information

Win Men International has issued guidance through the Taiwan Computer Emergency Response Team. Administrators should consult the TWCert Security Advisory and the TWCert Incident Report for fixed versions and upgrade instructions. Apply the patch on all production and staging instances.

Workarounds

  • Deploy a WAF rule set that blocks common SQL injection payloads and enforces strict parameter typing
  • Enforce least-privilege on the application's database account, removing DROP, ALTER, and administrative rights where not required
  • Restrict the application to internal networks and require authenticated VPN access until a permanent fix is deployed
  • Enable database activity monitoring to detect and terminate anomalous sessions in real time
bash
# Example WAF rule (ModSecurity) blocking common SQLi tokens in query strings
SecRule ARGS "@rx (?i)(union(\s|/\*.*\*/)+select|sleep\s*\(|benchmark\s*\(|--\s|;\s*drop\s+table)" \
    "id:1002001,phase:2,deny,status:403,log,msg:'Potential SQLi against Travel Agency Mgmt System (CVE-2026-19425)'"

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

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