CVE-2026-22470 Overview
CVE-2026-22470 is a Blind SQL Injection vulnerability affecting the FireStorm Professional Real Estate WordPress plugin (fs-real-estate-plugin). This vulnerability allows attackers to manipulate SQL queries through improper neutralization of special elements in user-supplied input. The flaw enables unauthorized database access without requiring authentication, potentially exposing sensitive real estate listing data, user credentials, and site configuration information.
Critical Impact
Attackers can extract sensitive database contents, modify or delete data, and potentially escalate to full server compromise through blind SQL injection techniques.
Affected Products
- FireStorm Professional Real Estate Plugin version 2.7.11 and earlier
- WordPress installations running vulnerable versions of fs-real-estate-plugin
- Real estate websites utilizing FireStorm's property listing functionality
Discovery Timeline
- 2026-01-22 - CVE-2026-22470 published to NVD
- 2026-01-22 - Last updated in NVD database
Technical Details for CVE-2026-22470
Vulnerability Analysis
This SQL Injection vulnerability (CWE-89) exists within the FireStorm Professional Real Estate plugin for WordPress. The plugin fails to properly sanitize user-controlled input before incorporating it into SQL queries executed against the WordPress database. As a blind SQL injection variant, the vulnerability does not return query results directly to the attacker but instead allows data extraction through inference-based techniques such as time-based or boolean-based responses.
The vulnerability affects all versions of the plugin from initial release through version 2.7.11. WordPress plugins that handle property listings typically process numerous user inputs including search filters, property IDs, and location parameters—any of which could serve as injection points if not properly sanitized.
Root Cause
The root cause is improper input validation and lack of parameterized queries within the plugin's database interaction layer. User-supplied input is concatenated directly into SQL query strings rather than being passed through prepared statements or WordPress's built-in escaping functions such as $wpdb->prepare(). This allows specially crafted input containing SQL metacharacters to alter the intended query logic.
Attack Vector
The attack vector involves submitting malicious SQL syntax through plugin input fields, URL parameters, or AJAX endpoints that interact with the database. In blind SQL injection scenarios, attackers typically use conditional statements combined with time delays (SLEEP()) or boolean conditions to infer database contents one character at a time.
For example, an attacker might manipulate property search parameters or listing IDs to inject SQL commands. The lack of visible query output requires the use of inference techniques—measuring response times or observing different application behaviors based on true/false conditions within the injected payload.
Technical details and proof-of-concept information can be found in the Patchstack SQL Injection Advisory.
Detection Methods for CVE-2026-22470
Indicators of Compromise
- Unusual database queries containing SQL injection signatures such as UNION SELECT, SLEEP(), BENCHMARK(), or 1=1 patterns in web server logs
- Abnormally slow response times on plugin endpoints indicating time-based blind SQL injection attempts
- Database error logs showing malformed queries originating from FireStorm plugin functions
- Unexpected access patterns to sensitive database tables including wp_users or wp_options
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns targeting WordPress plugins
- Monitor web server access logs for requests containing SQL metacharacters (', ", ;, --, /*) in query parameters
- Implement database query logging and alerting for queries with anomalous execution times or syntax patterns
- Use SentinelOne Singularity XDR to correlate web application events with database activity anomalies
Monitoring Recommendations
- Enable WordPress debug logging and monitor for database-related errors from the fs-real-estate-plugin directory
- Configure intrusion detection systems to alert on SQL injection signature matches in HTTP traffic
- Establish baseline response times for plugin endpoints and alert on significant deviations
- Review database audit logs for unauthorized data access or extraction patterns
How to Mitigate CVE-2026-22470
Immediate Actions Required
- Disable or deactivate the FireStorm Professional Real Estate plugin (fs-real-estate-plugin) until a patched version is available
- Implement WAF rules to block SQL injection attempts targeting known vulnerable endpoints
- Restrict database user privileges for the WordPress installation to minimum required permissions
- Review database access logs for signs of prior exploitation and rotate credentials if compromise is suspected
Patch Information
As of the last NVD update on 2026-01-22, no patch information has been published. Site administrators should monitor the Patchstack advisory and the official WordPress plugin repository for security updates. Consider contacting FireStorm Plugins directly for remediation guidance.
Workarounds
- Implement a virtual patch through WAF or reverse proxy to sanitize input destined for vulnerable plugin endpoints
- Use WordPress security plugins such as Wordfence or Sucuri to add SQL injection protection layers
- Consider replacing the vulnerable plugin with an alternative real estate solution until a fix is released
- Apply principle of least privilege to database accounts, removing unnecessary permissions like FILE or GRANT
# Example WordPress WAF rule configuration for ModSecurity
# Block SQL injection patterns in FireStorm plugin parameters
SecRule ARGS "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt blocked - FireStorm plugin protection',\
chain"
SecRule REQUEST_URI "@contains fs-real-estate"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

