CVE-2025-70420 Overview
A SQL injection vulnerability exists in Genesys Latitude v25.1.0.420 that allows an authenticated attacker to execute arbitrary SQL queries against the backend database. The vulnerability is caused by unsanitized user-supplied input being concatenated directly into SQL statements, classified as CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).
Critical Impact
Authenticated attackers can leverage this SQL injection flaw to extract sensitive data, modify database contents, or potentially escalate privileges within the Genesys Latitude environment.
Affected Products
- Genesys Latitude v25.1.0.420
Discovery Timeline
- 2026-04-21 - CVE-2025-70420 published to NVD
- 2026-04-22 - Last updated in NVD database
Technical Details for CVE-2025-70420
Vulnerability Analysis
This SQL injection vulnerability in Genesys Latitude affects authenticated users who can submit input that is directly incorporated into backend SQL queries without proper sanitization or parameterization. The flaw allows attackers with valid credentials to craft malicious SQL statements that execute against the database with the privileges of the application's database user.
SQL injection vulnerabilities of this nature can lead to unauthorized data access, data manipulation, and in some cases, complete database server compromise depending on the database configuration and privileges assigned to the application.
Root Cause
The root cause of this vulnerability is improper input validation and the use of dynamic SQL query construction. User-supplied input is concatenated directly into SQL statements rather than being properly sanitized or passed through parameterized queries (prepared statements). This allows attackers to inject malicious SQL syntax that alters the intended query logic.
Attack Vector
The vulnerability is exploitable over the network by authenticated users. An attacker with valid credentials can inject SQL commands through vulnerable input fields or parameters in the application. The attack does not require user interaction beyond authentication, making it relatively straightforward to exploit once valid credentials are obtained.
The injection point allows attackers to manipulate SQL queries to extract data from other tables, bypass application logic, modify or delete data, and potentially execute administrative operations on the database depending on the assigned privileges.
Detection Methods for CVE-2025-70420
Indicators of Compromise
- Unusual SQL error messages or database exceptions in application logs
- Abnormal database query patterns including UNION-based queries, time-based delays, or error-based extraction attempts
- Unexpected data access patterns or bulk data retrieval from authenticated user sessions
- Database audit logs showing queries with SQL metacharacters or suspicious command sequences
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect common SQL injection patterns in HTTP requests
- Enable database query logging and monitor for anomalous query structures or syntax errors
- Deploy application-layer monitoring to identify input containing SQL metacharacters such as single quotes, semicolons, and comment sequences
- Monitor for elevated database privileges or unauthorized access to sensitive tables
Monitoring Recommendations
- Enable verbose logging on the Genesys Latitude application to capture all database-bound user input
- Configure database auditing to track queries executed by the application service account
- Set up alerting for failed SQL query patterns that may indicate injection attempts
- Regularly review access logs for authenticated users exhibiting suspicious query behavior
How to Mitigate CVE-2025-70420
Immediate Actions Required
- Audit all input fields and parameters in Genesys Latitude for SQL injection vulnerabilities
- Implement input validation and sanitization on all user-controllable inputs
- Restrict database user privileges to the minimum required for application functionality
- Enable Web Application Firewall (WAF) protection with SQL injection rule sets
- Review database access logs for signs of prior exploitation
Patch Information
Organizations should monitor the Genesys Official Website for official security patches and updates addressing this vulnerability. Additional technical details regarding this vulnerability may be available at the OkunSec CVE-2025-70420 Research page.
Workarounds
- Implement parameterized queries (prepared statements) for all database interactions
- Deploy a Web Application Firewall configured to block SQL injection patterns
- Apply strict input validation that rejects SQL metacharacters where not explicitly required
- Limit database account privileges to restrict the impact of successful exploitation
- Consider network segmentation to limit database exposure from the application tier
# Example WAF rule for SQL injection detection (ModSecurity)
SecRule ARGS "@detectSQLi" \
"id:1001,\
phase:2,\
block,\
msg:'SQL Injection Attack Detected',\
logdata:'Matched Data: %{TX.0}',\
severity:'CRITICAL'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

