CVE-2025-5400 Overview
A critical SQL injection vulnerability has been identified in chaitak-gorai Blogbook, affecting the /user.php file within the GET Parameter Handler component. The vulnerability allows remote attackers to manipulate the u_id parameter to execute arbitrary SQL queries against the underlying database. This flaw enables unauthorized data access, modification, or deletion, potentially compromising the entire application and its user data.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data from the database, modify or delete records, and potentially gain further access to the underlying server infrastructure.
Affected Products
- chaitak-gorai Blogbook (up to commit 92f5cf90f8a7e6566b576fe0952e14e1c6736513)
Discovery Timeline
- 2025-06-01 - CVE CVE-2025-5400 published to NVD
- 2025-11-10 - Last updated in NVD database
Technical Details for CVE-2025-5400
Vulnerability Analysis
This SQL injection vulnerability exists in the /user.php endpoint of the Blogbook application. The u_id GET parameter is passed directly into SQL queries without proper sanitization or parameterization, allowing attackers to inject malicious SQL statements. The vulnerability is classified under CWE-89 (SQL Injection) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component).
The exploit has been publicly disclosed, increasing the risk of exploitation in the wild. The vendor was contacted about this disclosure but did not respond, leaving users without an official patch. Since Blogbook uses a rolling release model, there are no specific version numbers to identify vulnerable or patched releases.
Root Cause
The root cause of this vulnerability is improper input validation and the failure to use parameterized queries or prepared statements when handling user-supplied input. The u_id parameter from GET requests is directly concatenated into SQL query strings without sanitization, escaping, or type validation, allowing SQL metacharacters to modify the query logic.
Attack Vector
The attack can be launched remotely over the network without requiring any authentication or user interaction. An attacker crafts a malicious URL containing SQL injection payloads in the u_id parameter of the /user.php endpoint.
A typical attack scenario involves the attacker sending a crafted request to the vulnerable endpoint:
GET /user.php?u_id=1' OR '1'='1 HTTP/1.1
By injecting SQL syntax into the u_id parameter, the attacker can manipulate database queries to bypass authentication checks, extract data using UNION-based or blind SQL injection techniques, modify existing records, or execute database administrative operations depending on the database user privileges. For detailed technical analysis, see the GitHub SQL Injection Report.
Detection Methods for CVE-2025-5400
Indicators of Compromise
- HTTP requests to /user.php containing SQL metacharacters such as single quotes, semicolons, or SQL keywords (UNION, SELECT, OR, AND) in the u_id parameter
- Unusual database error messages in application logs referencing SQL syntax errors
- Database query logs showing unexpected queries or data extraction attempts through the Blogbook application
- Anomalous spikes in requests targeting the /user.php endpoint
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in GET parameters
- Implement application-level logging to capture and alert on malformed u_id parameter values
- Monitor database query logs for suspicious SQL statements originating from the web application
- Use SentinelOne Singularity to detect post-exploitation activities that may follow successful SQL injection attacks
Monitoring Recommendations
- Configure real-time alerting for HTTP requests containing common SQL injection payload patterns
- Monitor database performance metrics for unusual query patterns or execution times that may indicate data exfiltration
- Review web server access logs regularly for repeated requests to /user.php with varying payloads
- Enable verbose database logging temporarily to capture attack attempts during active exploitation windows
How to Mitigate CVE-2025-5400
Immediate Actions Required
- Restrict access to the /user.php endpoint at the web server or firewall level until a fix is implemented
- Deploy a Web Application Firewall (WAF) with rules specifically targeting SQL injection in the u_id parameter
- Consider taking the affected Blogbook installation offline if it contains sensitive data
- Review database logs for evidence of prior exploitation and assess potential data compromise
Patch Information
No official patch is currently available from the vendor. The vendor was contacted about this vulnerability but did not respond. Since Blogbook uses a rolling release model, users should monitor the project repository for any community-contributed fixes or forks that address this vulnerability. For more details, see VulDB #310740.
Workarounds
- Implement input validation at the web server level using ModSecurity or similar WAF to filter SQL injection patterns from the u_id parameter
- Apply database-level restrictions to limit the permissions of the database user used by Blogbook
- Manually patch the /user.php file to use prepared statements or parameterized queries for the u_id parameter
- Consider migrating to an alternative blogging platform that is actively maintained
# Example: Apache ModSecurity rule to block SQL injection in u_id parameter
SecRule ARGS:u_id "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected in u_id'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

