CVE-2026-23723
Product: WeGIA
Vulnerability Type: SQL Injection (Authenticated)
Impact: Full database exfiltration
CVSS v3.1 Score: 7.2
Severity: High
Attack Vector: Network
Privileges Required: High (Authenticated user)
User Interaction: None
Exploit Maturity: Public proof-of-concepts available (educational / research use)
Patch Available: Yes
Official Patch / Upgrade Link:
https://github.com/LabRedesCefetRJ/WeGIA/releases/tag/3.6.2
Executive Summary
CVE-2026-23723 is an authenticated SQL injection vulnerability affecting WeGIA versions prior to 3.6.2. The issue exists in the backend controller responsible for handling occurrence records, specifically through improper handling of the id_memorando parameter.
An authenticated attacker can manipulate SQL queries executed by the application, allowing unauthorized access to database contents. In real-world scenarios, this enables complete database extraction, exposure of sensitive personal data, and potential abuse of database-level functions if the database is misconfigured.
While authentication is required, exploitation is technically simple once access is obtained, making this vulnerability particularly dangerous in shared, institutional, or low-privilege environments.
Technical Root Cause
The vulnerability is caused by unsafe construction of SQL queries using user-supplied input. The application accepts the id_memorando parameter and inserts it directly into a database query without proper sanitization or use of prepared statements.
Instead of strictly enforcing numeric input and binding parameters securely, the backend allows the parameter to alter the logic of the SQL statement. This breaks the trust boundary between user input and database execution.
In short:
- Input is trusted when it should not be
- SQL statements are dynamically constructed
- No adequate validation or parameterization is enforced
Exploitation Overview
An attacker with valid credentials can interact with the vulnerable endpoint as part of normal application usage. By modifying the value of the id_memorando parameter, the attacker can influence the SQL query executed by the database.
Through this manipulation, the attacker can:
- Enumerate database tables and columns
- Extract sensitive records (user data, institutional data, documents)
- Dump entire databases in chunks
- Trigger expensive queries that may affect availability
In environments where the database user has excessive privileges, attackers may also:
- Read files from the database server
- Enumerate internal database metadata
- Abuse database functions beyond intended scope
This attack does not require user interaction beyond authentication and does not rely on social engineering.
Proof-of-Concept Availability (Educational)
Public proof-of-concept material exists and has been used for security research and validation purposes. These PoCs demonstrate that the vulnerability is exploitable under real conditions.
The existence of public PoCs significantly increases risk because:
- Exploitation techniques are well understood
- Attack paths are predictable
- Automated abuse becomes feasible
Organizations should assume that active exploitation is possible if systems remain unpatched.
MITRE ATT&CK & CWE Mapping
CWE
- CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection)
MITRE ATT&CK (Relevant Techniques)
- T1190: Exploit Public-Facing Application
- T1059: Command and Scripting Interpreter (via database execution context)
- T1555: Credentials from Password Stores (indirect risk if DB contains credentials)
- T1005: Data from Local System
Impact Analysis
Confidentiality
- Full exposure of database contents
- Leakage of personally identifiable information (PII)
- Possible exposure of internal institutional records
Integrity
- Data manipulation or deletion possible
- Corruption of records
- Potential tampering with audit data
Availability
- Heavy queries can degrade database performance
- Possible denial-of-service conditions
Detection & Monitoring Strategy
Primary Log Sources to Monitor
- Web Server Access Logs
- Apache / Nginx logs
- Look for abnormal query strings
- Application Logs
- Backend controller logs
- Input validation errors or unexpected execution paths
- Database Logs
- General query logs
- Slow query logs
- WAF / Reverse Proxy Logs
- SIEM Correlated Events
Indicators of Exploitation
Application-Level Indicators
id_memorandovalues containing non-numeric characters- Excessively long parameter values
- Repeated requests to the same endpoint in short intervals
- Requests made outside of normal business workflows
Database-Level Indicators
- Queries accessing system tables or metadata
- Unusually large result sets
- Repeated SELECT statements with pagination patterns
- Sudden spikes in read activity from the application DB user
Behavioral Indicators
- One user account accessing unusually large volumes of data
- Database performance degradation linked to application traffic
- Export-like activity without corresponding user actions
Detection Rules
Rule 1: Parameter Anomaly Detection
Trigger an alert when:
id_memorandocontains characters outside[0-9]- Parameter length exceeds expected limits
Rule 2: Endpoint Abuse Detection
Trigger an alert when:
- More than X requests to the vulnerable endpoint occur within Y seconds
- Requests originate from a single authenticated session
Rule 3: Database Enumeration Behavior
Trigger an alert when:
- Application DB user accesses system catalogs
- Queries touch an unusually high number of tables
Rule 4: Data Volume Anomaly
Trigger an alert when:
- Query result sizes exceed normal thresholds
- Sustained high read volume is detected
These rules can be implemented in:
- SIEM platforms (Splunk, Elastic, QRadar)
- Database activity monitoring tools
- WAF anomaly engines
Remediation & Mitigation
Immediate Actions
- Upgrade to WeGIA version 3.6.2 or later
- Rotate database credentials
- Review user access and permissions
- Restrict database privileges to least privilege
- Implement WAF filtering for parameter validation
Long-Term Hardening
- Enforce prepared statements across all database queries
- Centralize input validation
- Conduct periodic code reviews
- Enable database query logging by default
- Perform regular security testing
Final Takeaway
CVE-2026-23723 is a serious authenticated SQL injection vulnerability that exposes WeGIA deployments to full database compromise. While authentication is required, the ease of exploitation and the presence of public research PoCs make this vulnerability a real and immediate risk.
The only complete fix is upgrading to version 3.6.2 using the official patch provided by the vendor. Detection, monitoring, and access control can reduce risk, but they do not replace patching.
