CVE-2019-25479 Overview
Inout RealEstate contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the city parameter. Attackers can send POST requests to the agents/agentlistdetails endpoint with malicious SQL payloads in the city parameter to extract sensitive database information.
Critical Impact
Unauthenticated attackers can exploit this SQL injection vulnerability to extract sensitive database contents, potentially compromising user credentials, personal information, and other confidential data stored in the application's database.
Affected Products
- Inout RealEstate (all versions without security patches)
Discovery Timeline
- 2026-03-12 - CVE CVE-2019-25479 published to NVD
- 2026-03-12 - Last updated in NVD database
Technical Details for CVE-2019-25479
Vulnerability Analysis
This vulnerability is classified as CWE-89 (SQL Injection), a critical web application security flaw where user-supplied input is improperly incorporated into SQL queries without adequate sanitization or parameterization. The vulnerability exists in the agents/agentlistdetails endpoint of Inout RealEstate, specifically affecting the handling of the city parameter in POST requests.
When a user submits data through this endpoint, the application fails to properly validate or escape the city parameter value before including it in database queries. This allows an attacker to break out of the intended query context and inject arbitrary SQL statements that will be executed by the database server with the same privileges as the application.
Root Cause
The root cause of this vulnerability is the lack of proper input validation and parameterized query implementation in the Inout RealEstate application. The city parameter is directly concatenated into SQL queries without sanitization, allowing attackers to inject malicious SQL syntax. Secure coding practices such as prepared statements with bound parameters were not implemented, leaving the application vulnerable to this classic injection attack.
Attack Vector
The attack vector is network-based and requires no authentication, making it particularly dangerous. An attacker can craft a malicious POST request to the agents/agentlistdetails endpoint with SQL injection payloads embedded in the city parameter. Common exploitation techniques include:
- Using UNION-based injection to extract data from other database tables
- Employing boolean-based blind injection to enumerate database contents character by character
- Leveraging time-based blind injection techniques when direct output is not visible
- Potentially escalating to read/write file system access depending on database configuration
For detailed exploitation techniques and proof-of-concept examples, refer to the Exploit-DB #46631 entry and the VulnCheck SQL Injection Advisory.
Detection Methods for CVE-2019-25479
Indicators of Compromise
- Unusual POST requests to the agents/agentlistdetails endpoint containing SQL syntax characters such as single quotes, double dashes, or UNION keywords
- Database error messages appearing in application logs or responses indicating malformed SQL queries
- Unexpected database query patterns or execution times suggesting blind SQL injection attempts
- Evidence of data exfiltration from database tables not typically accessed by normal application operations
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the city parameter
- Configure database activity monitoring to alert on suspicious query patterns or unauthorized data access
- Deploy intrusion detection systems with signatures for common SQL injection attack patterns
- Enable detailed logging for the agents/agentlistdetails endpoint and monitor for anomalous request patterns
Monitoring Recommendations
- Monitor web server access logs for POST requests to the agents/agentlistdetails endpoint with abnormally long or suspicious city parameter values
- Set up alerts for database errors that may indicate SQL injection attempts
- Track database query execution times to identify potential time-based blind SQL injection attacks
- Review application logs regularly for evidence of reconnaissance or exploitation activity
How to Mitigate CVE-2019-25479
Immediate Actions Required
- Restrict access to the agents/agentlistdetails endpoint until a patch can be applied
- Deploy a Web Application Firewall (WAF) with SQL injection protection rules targeting the vulnerable parameter
- Implement input validation to reject requests containing SQL syntax characters in the city parameter
- Review database user privileges to ensure the application uses least-privilege database accounts
Patch Information
Review the vendor's official channels and the VulnCheck SQL Injection Advisory for patch availability and update instructions. Apply vendor-supplied security updates as soon as they become available.
Workarounds
- Implement strict input validation on the city parameter to allow only alphanumeric characters and expected special characters
- Deploy a reverse proxy or WAF to filter malicious requests before they reach the application
- Consider disabling or restricting the agents/agentlistdetails functionality if it is not critical to business operations
- Apply database hardening measures such as limiting database user permissions and disabling dangerous stored procedures
# Example WAF rule configuration for ModSecurity
SecRule ARGS:city "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt detected in city parameter'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


