Source: cna@vuldb.com
A vulnerability classified as critical was found in PHPGurukul Land Record System 1.0. Affected by this vulnerability is an unknown functionality of the file /admin/search-property.php. The manipulation of the argument searchdata leads to sql injection. The attack can be launched remotely. The exploit has been disclosed to the public and may be used.
Critical SQL injection vulnerability exists in PHPGurukul Land Record System 1.0, allowing remote attackers to compromise the system. Successful exploitation grants attackers unauthorized access to sensitive data, potentially leading to data breaches and complete system control. Immediate patching and mitigation are crucial to prevent exploitation.
Step 1: Reconnaissance: The attacker identifies the vulnerable application and the /admin/search-property.php file, likely through port scanning and web application fingerprinting.
Step 2: Payload Delivery: The attacker crafts a malicious SQL injection payload designed to exploit the searchdata parameter. This payload is typically embedded within a specially crafted HTTP GET or POST request.
Step 3: Request Submission: The attacker sends the crafted request to the vulnerable application.
Step 4: Query Execution: The application receives the request and, due to the lack of input validation, directly incorporates the attacker's payload into a SQL query.
Step 5: SQL Injection: The database server executes the modified SQL query, interpreting the attacker's payload as legitimate SQL commands.
Step 6: Data Exfiltration/System Compromise: Depending on the payload, the attacker can then extract sensitive data (e.g., user credentials, property records), modify existing data, or potentially gain remote code execution on the server, leading to complete system compromise.
The vulnerability stems from insufficient input validation and sanitization of the searchdata parameter within the /admin/search-property.php file. The application directly incorporates user-supplied input into a SQL query without proper escaping or filtering. This allows an attacker to inject malicious SQL code, altering the intended query and enabling unauthorized data retrieval, modification, or even system command execution. The root cause is a missing or inadequate implementation of parameterized queries or prepared statements, which would prevent the attacker's input from being interpreted as executable SQL code. The lack of input validation allows for the injection of SQL commands, leading to the compromise of the database.
While no specific APTs are directly linked to this CVE at this time, the public availability of the exploit and the critical severity level make it attractive to various threat actors, including those seeking to steal data or establish a foothold for further attacks. This vulnerability is not currently listed in the CISA KEV catalog, but its severity warrants close monitoring.
Web server logs: Examine access logs for unusual patterns in requests to /admin/search-property.php, specifically looking for SQL injection keywords (e.g., SELECT, UNION, OR, AND, ', --).
Database logs: Monitor database query logs for suspicious activity, such as unexpected queries or attempts to access sensitive tables.
Intrusion Detection/Prevention Systems (IDS/IPS): Deploy and configure IDS/IPS rules to detect SQL injection attempts based on known attack patterns and signatures.
Network traffic analysis: Analyze network traffic for unusual HTTP requests containing SQL injection payloads, using tools like Wireshark or Suricata.
Patching: Apply the vendor's patch or update as soon as it becomes available. This is the most effective long-term solution.
Input Validation: Implement robust input validation and sanitization for the searchdata parameter. This should include whitelisting allowed characters and escaping special characters to prevent them from being interpreted as SQL commands.
Parameterized Queries/Prepared Statements: Use parameterized queries or prepared statements in all database interactions. This prevents the attacker's input from being interpreted as executable SQL code.
Web Application Firewall (WAF): Deploy a WAF to filter malicious traffic and block SQL injection attempts.
Principle of Least Privilege: Ensure the database user account used by the application has only the necessary permissions to access the database.
Regular Security Audits: Conduct regular security audits and penetration testing to identify and address vulnerabilities.