CVE-2025-5401 Overview
A critical SQL injection vulnerability has been identified in chaitak-gorai Blogbook, affecting versions up to commit 92f5cf90f8a7e6566b576fe0952e14e1c6736513. The vulnerability exists in the /post.php file within the GET Parameter Handler component, where improper handling of the p_id argument allows attackers to inject malicious SQL queries. This vulnerability can be exploited remotely without authentication, potentially allowing unauthorized access to the underlying database.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database contents, or potentially compromise the entire application through malicious SQL commands injected via the p_id parameter.
Affected Products
- chaitak-gorai Blogbook (all versions up to commit 92f5cf90f8a7e6566b576fe0952e14e1c6736513)
Discovery Timeline
- 2025-06-01 - CVE-2025-5401 published to NVD
- 2025-11-10 - Last updated in NVD database
Technical Details for CVE-2025-5401
Vulnerability Analysis
This SQL injection vulnerability resides in the /post.php file of the Blogbook application. The application fails to properly sanitize or parameterize user-supplied input passed through the p_id GET parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to manipulate the intended SQL logic by injecting arbitrary SQL syntax through the vulnerable parameter.
The vulnerability affects the GET Parameter Handler component, which processes incoming requests to display blog posts. When a user supplies a malicious value for the p_id parameter, the unsanitized input is directly concatenated into a database query, enabling SQL injection attacks.
Since the product follows a rolling release model, specific version numbers are not available. The vulnerability has been publicly disclosed, and proof-of-concept information is available, increasing the risk of exploitation. The vendor was contacted about this disclosure but did not respond.
Root Cause
The root cause of this vulnerability is improper input validation and lack of parameterized queries in the /post.php file. The application directly incorporates user-controlled input from the p_id GET parameter into SQL statements without proper sanitization, escaping, or the use of prepared statements. This violates secure coding practices and allows attackers to break out of the intended query context to execute arbitrary SQL commands.
Attack Vector
The attack can be launched remotely over the network without requiring authentication or user interaction. An attacker can craft a malicious URL containing SQL injection payloads in the p_id parameter and send it to the vulnerable endpoint. The attack methodology involves:
- Identifying the vulnerable /post.php endpoint accepting the p_id parameter
- Crafting SQL injection payloads to probe the database structure
- Extracting sensitive data through UNION-based, boolean-based, or time-based blind SQL injection techniques
- Potentially modifying or deleting data, or escalating to further system compromise
The vulnerability has been publicly disclosed with exploit details available in the GitHub Blog Post on SQL Injection, making it accessible to potential attackers.
Detection Methods for CVE-2025-5401
Indicators of Compromise
- Unusual or malformed requests to /post.php containing SQL syntax characters such as single quotes, double quotes, semicolons, or SQL keywords in the p_id parameter
- Database error messages appearing in application responses indicating SQL syntax errors
- Unexpected database queries or increased database activity correlating with web requests
- Evidence of data exfiltration or unauthorized database access in application logs
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block SQL injection patterns in GET parameters targeting /post.php
- Implement application-level logging to capture all requests to the vulnerable endpoint with parameter values
- Monitor database query logs for anomalous queries originating from the web application
- Use intrusion detection systems (IDS) with signatures for SQL injection attack patterns
Monitoring Recommendations
- Enable detailed access logging on web servers to capture full request URLs including query parameters
- Configure alerting for multiple failed or malformed requests to /post.php from the same source
- Monitor database performance metrics for unusual query patterns or execution times indicative of blind SQL injection
- Review application logs regularly for SQL error messages or unexpected database exceptions
How to Mitigate CVE-2025-5401
Immediate Actions Required
- Remove or disable public access to the Blogbook application until a patch is available
- Implement WAF rules to block requests containing SQL injection patterns in the p_id parameter
- Review application logs for signs of previous exploitation attempts
- Consider implementing an allowlist for the p_id parameter to accept only numeric values
Patch Information
No official patch information is currently available. The vendor (chaitak-gorai) was contacted about this disclosure but did not respond. Since Blogbook uses a rolling release model, users should monitor the project repository for any commits addressing this vulnerability. Technical details are available at VulDB #310741.
Workarounds
- Implement input validation at the application level to ensure p_id accepts only integer values
- Deploy a reverse proxy or WAF with SQL injection protection rules in front of the application
- Restrict network access to the application to trusted IP addresses only
- Consider migrating to an alternative blogging platform with better security practices until the vulnerability is addressed
# Example WAF rule for ModSecurity to block SQL injection in p_id parameter
SecRule ARGS:p_id "@detectSQLi" \
"id:1001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt blocked in p_id parameter',\
tag:'CVE-2025-5401'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

