CVE-2024-1100
CVE-2024-1100
Weakness (CWE)
CVSS Vector
v4.0- Attack Vector
- Network
- Attack Complexity
- Low
- Attack Requirements
- None
- Privileges Required
- None
- User Interaction
- None
- Confidentiality (Vulnerable)
- High
- Integrity (Vulnerable)
- High
- Availability (Vulnerable)
- High
- Confidentiality (Subsequent)
- High
- Integrity (Subsequent)
- High
- Availability (Subsequent)
- High
Description
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Vadi Corporate Information Systems DIGIKENT GIS allows SQL Injection. This issue affects DIGIKENT GIS: through 2.23.5.
Comprehensive Technical Analysis of CVE-2024-1100
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-1100 Description: The vulnerability involves an SQL Injection flaw in Vadi Corporate Information Systems DIGIKENT GIS. This type of vulnerability occurs when user input is not properly sanitized, allowing an attacker to manipulate SQL queries executed by the application. CVSS Score: 9.8 Severity: Critical
The CVSS score of 9.8 indicates a highly severe vulnerability. SQL Injection is one of the most dangerous types of vulnerabilities because it can lead to unauthorized access to the database, data theft, data manipulation, and even complete takeover of the database server.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- User Input Fields: Any input field that interacts with the database, such as search bars, login forms, and data entry forms, can be exploited.
- URL Parameters: Parameters passed in the URL that are used in SQL queries.
- Cookies and Headers: If the application uses data from cookies or headers in SQL queries, these can also be manipulated.
Exploitation Methods:
- Classic SQL Injection: Injecting malicious SQL code directly into input fields.
- Blind SQL Injection: Using conditional statements to infer database structure and data.
- Error-Based SQL Injection: Exploiting error messages to gain information about the database.
3. Affected Systems and Software Versions
Affected Software: Vadi Corporate Information Systems DIGIKENT GIS Affected Versions: Through 2.23.5
All versions up to and including 2.23.5 are vulnerable to this SQL Injection flaw. Organizations using these versions should prioritize updating or applying patches as soon as they become available.
4. Recommended Mitigation Strategies
Immediate Actions:
- Input Validation: Implement strict input validation to ensure that only expected data types and formats are accepted.
- Parameterized Queries: Use parameterized queries or prepared statements to separate SQL code from data.
- Stored Procedures: Use stored procedures instead of dynamic SQL queries.
- Web Application Firewalls (WAF): Deploy WAFs to detect and block SQL Injection attempts.
Long-Term Strategies:
- Regular Patching: Ensure that all software, including DIGIKENT GIS, is kept up to date with the latest patches and updates.
- Security Training: Conduct regular training for developers and administrators on secure coding practices and SQL Injection prevention.
- Code Reviews: Implement rigorous code review processes to identify and fix vulnerabilities early in the development cycle.
5. Impact on Cybersecurity Landscape
The presence of an SQL Injection vulnerability in a widely-used GIS system like DIGIKENT GIS underscores the ongoing challenge of securing web applications. This vulnerability can have severe implications, including:
- Data Breaches: Unauthorized access to sensitive data.
- Data Integrity: Compromise of data integrity through unauthorized modifications.
- System Compromise: Potential for complete system takeover.
This incident highlights the need for continuous monitoring, regular security audits, and adherence to best practices in secure coding and application security.
6. Technical Details for Security Professionals
Detection:
- Log Analysis: Monitor database logs for unusual or malformed SQL queries.
- Intrusion Detection Systems (IDS): Use IDS to detect patterns indicative of SQL Injection attempts.
- Anomaly Detection: Implement anomaly detection mechanisms to identify deviations from normal database query patterns.
Response:
- Incident Response Plan: Have a well-defined incident response plan in place to quickly address any detected SQL Injection attempts.
- Forensic Analysis: Conduct forensic analysis to understand the scope and impact of any successful SQL Injection attacks.
- Patch Management: Ensure that patches are applied promptly and that systems are regularly updated.
Prevention:
- Secure Coding Practices: Adhere to secure coding practices such as OWASP Top Ten.
- Regular Audits: Conduct regular security audits and penetration testing to identify and mitigate vulnerabilities.
- Least Privilege Principle: Apply the principle of least privilege to database access, ensuring that users and applications have only the permissions necessary for their functions.
By addressing these technical details, security professionals can effectively mitigate the risks associated with CVE-2024-1100 and enhance the overall security posture of their organizations.