CVE-2025-47573 Overview
CVE-2025-47573 is a blind SQL injection vulnerability in the mojoomla School Management plugin for WordPress. The flaw affects all versions through 92.0.0 and stems from improper neutralization of special elements in SQL commands [CWE-89]. Unauthenticated attackers can inject crafted SQL statements over the network without user interaction. The vulnerability carries a CVSS 3.1 score of 9.3 with a scope change, meaning successful exploitation impacts resources beyond the vulnerable component. Patchstack published the advisory documenting the issue in the WordPress plugin ecosystem.
Critical Impact
Unauthenticated attackers can extract sensitive database contents, including user credentials and student records, through blind SQL injection against vulnerable School Management deployments.
Affected Products
- mojoomla School Management plugin for WordPress
- All versions from n/a through 92.0.0
- WordPress sites with the School Management plugin installed and activated
Discovery Timeline
- 2025-06-17 - CVE-2025-47573 published to NVD
- 2026-04-28 - Last updated in NVD database
Technical Details for CVE-2025-47573
Vulnerability Analysis
The vulnerability resides in the mojoomla School Management plugin, a WordPress extension used by educational institutions to manage students, staff, fees, and academic records. User-controlled input reaches SQL query construction without proper sanitization or parameterization. This allows attackers to manipulate database queries through crafted request parameters.
The issue is classified as blind SQL injection, meaning the application does not return database errors or query results directly in the HTTP response. Attackers extract data using boolean-based or time-based inference techniques. Each request reveals a single bit of information based on response behavior or timing differences.
The vulnerability requires no authentication and no user interaction. The scope change indicator in the CVSS vector reflects that exploitation can compromise data belonging to other WordPress components or users beyond the plugin itself.
Root Cause
The root cause is the construction of SQL queries using direct string concatenation with untrusted input. The plugin fails to apply WordPress prepared statement APIs such as $wpdb->prepare() or to validate input types against expected formats. This pattern is the canonical CWE-89 weakness.
Attack Vector
Attackers reach the vulnerable endpoint over the network through standard HTTP requests. The attacker submits malicious payloads in request parameters processed by vulnerable plugin handlers. Common blind SQL injection techniques include conditional SLEEP() payloads to infer query truth values through response delays, and boolean expressions that change application behavior based on extracted data.
The vulnerability mechanism is described in the Patchstack SQL Injection Advisory. No public proof-of-concept exploit code is currently available.
Detection Methods for CVE-2025-47573
Indicators of Compromise
- HTTP requests to School Management plugin endpoints containing SQL keywords such as UNION, SELECT, SLEEP, BENCHMARK, or WAITFOR DELAY in parameter values
- Unusually slow response times from plugin URLs, indicating time-based blind SQL injection probing
- Repeated requests from a single source with incrementing numeric values in parameters, consistent with automated data extraction
- Web server access logs showing encoded SQL metacharacters such as %27, %22, or 0x hex sequences in plugin request parameters
Detection Strategies
- Deploy a web application firewall (WAF) with SQL injection rule sets tuned for WordPress plugin endpoints
- Enable MySQL general query logging temporarily to identify malformed or suspicious queries originating from the plugin
- Monitor WordPress database query patterns for anomalous INFORMATION_SCHEMA access or repeated single-row lookups against wp_users
- Inspect plugin source code for direct concatenation of $_GET, $_POST, or $_REQUEST values into SQL strings
Monitoring Recommendations
- Correlate WordPress access logs with database server logs to identify request-to-query mappings during suspected attacks
- Alert on HTTP 500 responses from School Management plugin URLs that may indicate query syntax errors during probing
- Track outbound connections from the web server that could indicate data exfiltration following successful injection
- Review WordPress audit logs for unexpected administrative account creation or privilege changes
How to Mitigate CVE-2025-47573
Immediate Actions Required
- Deactivate and remove the mojoomla School Management plugin if a patched version is not available for your installed release
- Restrict access to WordPress administrative and plugin endpoints by source IP where operationally feasible
- Rotate WordPress database credentials and administrator passwords if exploitation is suspected
- Audit wp_users and wp_usermeta tables for unauthorized accounts or privilege modifications
Patch Information
No fixed version has been published in the available advisory data. The vulnerability affects School Management through version 92.0.0. Monitor the Patchstack SQL Injection Advisory for vendor patch availability and apply updates as soon as released.
Workarounds
- Deploy WAF rules that block SQL injection signatures targeting WordPress plugin parameters
- Place the WordPress site behind authentication or VPN access until the plugin is patched or removed
- Apply virtual patching at the reverse proxy layer to reject requests containing SQL metacharacters in School Management endpoints
- Enforce the principle of least privilege on the database account used by WordPress, limiting access to only required tables
# Example ModSecurity rule to block common SQLi payloads against the plugin path
SecRule REQUEST_URI "@contains /wp-content/plugins/school-management/" \
"id:1004773,phase:2,deny,status:403,log,\
chain,msg:'Blocked potential SQLi against School Management plugin'"
SecRule ARGS "@rx (?i)(union(.*?)select|sleep\(|benchmark\(|information_schema)" "t:none,t:urlDecode"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

