CVE-2023-41507
CVE-2023-41507
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
Super Store Finder v3.6 was discovered to contain multiple SQL injection vulnerabilities in the store locator component via the products, distance, lat, and lng parameters.
Comprehensive Technical Analysis of CVE-2023-41507
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2023-41507 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 through SQL injection attacks. 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
The vulnerability exists in the store locator component of Super Store Finder v3.6, specifically via the products, distance, lat, and lng parameters. An attacker can exploit this vulnerability by crafting malicious SQL queries and injecting them into these parameters. Common exploitation methods include:
- Union-Based SQL Injection: Attackers can use the
UNIONoperator to combine the results of two SQL queries, potentially extracting sensitive data. - Error-Based SQL Injection: Attackers can induce database errors to gather information about the database structure.
- Blind SQL Injection: Attackers can infer database information by observing the application's behavior without direct error messages.
3. Affected Systems and Software Versions
Affected Software: Super Store Finder v3.6
All systems running Super Store Finder v3.6 are vulnerable to this SQL injection attack. This includes any web applications or services that utilize this version of the software for store location functionalities.
4. Recommended Mitigation Strategies
- Immediate Patching: Apply the latest patch or update provided by the vendor to mitigate the vulnerability.
- Input Validation: Implement robust input validation to ensure that only expected data types and formats are accepted.
- Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection attacks.
- Web Application Firewalls (WAF): Deploy WAFs to detect and block malicious SQL injection attempts.
- Regular Security Audits: Conduct regular security audits and penetration testing to identify and address vulnerabilities.
- Least Privilege Principle: Ensure that database accounts used by the application have the minimum necessary privileges.
5. Impact on Cybersecurity Landscape
The discovery of CVE-2023-41507 highlights the ongoing challenge of securing web applications against SQL injection attacks. This vulnerability underscores the importance of secure coding practices, regular updates, and proactive security measures. Organizations must prioritize security in their software development lifecycle to mitigate such risks effectively.
6. Technical Details for Security Professionals
Vulnerability Details:
- Component: Store locator
- Parameters:
products,distance,lat,lng - Exploitation: Injection of malicious SQL queries through these parameters can lead to unauthorized database access and manipulation.
Detection and Response:
- Log Analysis: Monitor database logs for unusual query patterns or errors that may indicate SQL injection attempts.
- Intrusion Detection Systems (IDS): Implement IDS to detect and alert on suspicious activities related to SQL injection.
- Incident Response Plan: Develop and maintain an incident response plan to quickly address and mitigate any detected SQL injection attacks.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of SQL injection attacks and protect their critical data and systems.