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CVE Vulnerability Database
Vulnerability Database/CVE-2025-59473

CVE-2025-59473: Admin Panel SQL Injection Vulnerability

CVE-2025-59473 is an SQL injection vulnerability in the admin structure that allows authenticated administrators to execute malicious database queries. This article covers technical details, security impact, and mitigation.

Published: January 30, 2026

CVE-2025-59473 Overview

CVE-2025-59473 is a SQL Injection vulnerability affecting the Structure component for authenticated administrative users. This vulnerability allows attackers with administrative privileges to manipulate SQL queries through improper input sanitization, potentially leading to unauthorized data access, modification, or deletion within the underlying database.

Critical Impact

Authenticated administrators can exploit this SQL injection flaw to extract sensitive data, modify database contents, or potentially escalate their access beyond intended privileges within the affected application.

Affected Products

  • Structure for Admin component (specific versions not disclosed)

Discovery Timeline

  • 2026-01-26 - CVE-2025-59473 published to NVD
  • 2026-01-27 - Last updated in NVD database

Technical Details for CVE-2025-59473

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists within the Structure component accessible to authenticated administrative users. The vulnerability stems from insufficient input validation and improper neutralization of special elements used in SQL commands. While the attack requires administrative authentication (reducing the attack surface), successful exploitation could allow an attacker to bypass security controls implemented at the application layer and interact directly with the database.

The network-accessible nature of this vulnerability means that any authenticated administrator with network access to the affected component can potentially exploit it. The confidentiality impact is significant as database contents could be fully extracted, while integrity and availability impacts are more limited but still present through potential data manipulation or denial of service conditions.

Root Cause

The root cause of this vulnerability is improper neutralization of special elements used in SQL commands (CWE-89). User-supplied input from authenticated administrative users is not adequately sanitized or parameterized before being incorporated into SQL queries. This allows specially crafted input containing SQL syntax to modify the intended query logic.

Attack Vector

The attack is network-based and requires the attacker to possess valid administrative credentials for the affected application. Once authenticated, the attacker can inject malicious SQL statements through vulnerable input fields within the Structure component. These injected statements are then executed by the database with the privileges of the application's database user.

The vulnerability was reported through the HackerOne bug bounty platform. For detailed technical information about the exploitation mechanism, refer to HackerOne Report #3249794.

Detection Methods for CVE-2025-59473

Indicators of Compromise

  • Unusual database query patterns originating from the Structure admin component
  • Error messages in application logs containing SQL syntax errors or database exceptions
  • Unexpected data extraction or modification activities in database audit logs
  • Anomalous administrative session behavior with atypical query execution patterns

Detection Strategies

  • Implement database activity monitoring to detect anomalous SQL query patterns from the application
  • Deploy Web Application Firewall (WAF) rules to identify SQL injection attempt signatures
  • Enable verbose logging for the Structure admin component and monitor for suspicious input patterns
  • Review application logs for error messages indicating malformed SQL queries

Monitoring Recommendations

  • Configure alerting for database queries containing common SQL injection payloads (UNION, SELECT, INSERT, DROP, etc.)
  • Monitor administrative user sessions for unusual activity patterns or extended session durations
  • Implement real-time log analysis for the affected application component
  • Establish baseline behavior for administrative database operations to identify deviations

How to Mitigate CVE-2025-59473

Immediate Actions Required

  • Review and restrict administrative access to the affected Structure component to only essential personnel
  • Implement additional input validation at the web application firewall level
  • Enable enhanced logging and monitoring for all administrative actions
  • Conduct an audit of recent administrative activity for potential exploitation indicators

Patch Information

Patch details are not explicitly provided in the CVE data. Organizations should monitor vendor communications and the HackerOne Report #3249794 for updates on available fixes. Contact the vendor directly for patch availability and upgrade guidance.

Workarounds

  • Implement parameterized queries or prepared statements in the affected code paths if source access is available
  • Deploy Web Application Firewall rules to block common SQL injection patterns
  • Restrict network access to the administrative interface to trusted IP addresses only
  • Consider temporarily disabling the vulnerable Structure component until a patch is available
  • Implement additional authentication factors for administrative access to reduce exploitation risk

Organizations should prioritize applying vendor patches when available and maintain enhanced monitoring until the vulnerability is fully remediated.

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechN/A

  • SeverityMEDIUM

  • CVSS Score6.0

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:L/A:L
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-89
  • Technical References
  • HackerOne Report #3249794
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