CVE-2023-36361
CVE-2023-36361
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
Audimexee v14.1.7 was discovered to contain a SQL injection vulnerability via the p_table_name parameter.
Comprehensive Technical Analysis of CVE-2023-36361
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2023-36361
Description: Audimexee v14.1.7 contains a SQL injection vulnerability via the p_table_name parameter.
CVSS Score: 9.8
The CVSS score of 9.8 indicates a critical vulnerability. This high score is due to the potential for unauthorized access, data breaches, and system compromise. SQL injection vulnerabilities are particularly severe because they can allow attackers to execute arbitrary SQL commands on the database, leading to data theft, data manipulation, and unauthorized administrative access.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Direct SQL Injection: An attacker can input malicious SQL statements into the
p_table_nameparameter to manipulate the database. - Blind SQL Injection: An attacker can use conditional statements to infer database structure and data without direct feedback.
- Union-Based SQL Injection: An attacker can use the
UNIONSQL operator to combine the results of two SELECT statements into a single result.
Exploitation Methods:
- Data Exfiltration: Extract sensitive data from the database.
- Data Manipulation: Modify or delete data within the database.
- Privilege Escalation: Gain higher privileges within the database or the application.
- Denial of Service (DoS): Overload the database with complex queries to disrupt service.
3. Affected Systems and Software Versions
Affected Software:
- Audimexee v14.1.7
Affected Systems:
- Any system running Audimexee v14.1.7 that processes user input through the
p_table_nameparameter.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Patching: Apply the latest security patches provided by the vendor.
- Input Validation: Implement strict input validation to ensure that only expected values are accepted.
- Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection.
- Web Application Firewall (WAF): Deploy a WAF to detect and block malicious SQL injection attempts.
Long-Term Mitigation:
- Code Review: Conduct thorough code reviews to identify and fix similar vulnerabilities.
- Security Training: Educate developers on secure coding practices to prevent future SQL injection vulnerabilities.
- Regular Audits: Perform regular security audits and penetration testing to identify and mitigate vulnerabilities.
5. Impact on Cybersecurity Landscape
The discovery of CVE-2023-36361 highlights the ongoing challenge of SQL injection vulnerabilities in web applications. Despite being a well-known issue, SQL injection remains a prevalent threat due to inadequate input validation and improper handling of user inputs. This vulnerability underscores the importance of continuous security assessments and the adoption of secure coding practices.
6. Technical Details for Security Professionals
Vulnerability Details:
- Parameter:
p_table_name - Vulnerable Function: The function or method that processes the
p_table_nameparameter without proper sanitization. - Exploit Example:
p_table_name = 'users'; DROP TABLE users; --
Detection:
- Log Analysis: Monitor database logs for unusual SQL queries or error messages indicating SQL injection attempts.
- Intrusion Detection Systems (IDS): Use IDS to detect and alert on suspicious database activities.
Remediation:
- Code Example:
# Example using parameterized queries in Python with SQLite import sqlite3 conn = sqlite3.connect('example.db') cursor = conn.cursor() table_name = 'users' cursor.execute("SELECT * FROM ?", (table_name,))
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of SQL injection attacks and protect their sensitive data.