CVE-2024-24213
CVE-2024-24213
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
Supabase PostgreSQL v15.1 was discovered to contain a SQL injection vulnerability via the component /pg_meta/default/query. NOTE: the vendor's position is that this is an intended feature; also, it exists in the Supabase dashboard product, not the Supabase PostgreSQL product. Specifically, /pg_meta/default/query is for SQL queries that are entered in an intended UI by an authorized user. Nothing is injected.
Comprehensive Technical Analysis of CVE-2024-24213
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-24213 CVSS Score: 9.8
The vulnerability in question is a SQL injection flaw identified in Supabase PostgreSQL v15.1, specifically within the component /pg_meta/default/query. The high CVSS score of 9.8 indicates a critical severity level, suggesting that the vulnerability could be easily exploited and result in significant damage.
Severity Evaluation:
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
The vendor's position that this is an intended feature for authorized users to enter SQL queries via a UI does not mitigate the risk, as SQL injection vulnerabilities can be exploited by malicious actors who gain unauthorized access to the UI.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Unauthorized Access: An attacker could gain access to the Supabase dashboard through compromised credentials or other means.
- Cross-Site Scripting (XSS): An attacker could exploit an XSS vulnerability to inject malicious SQL queries.
- Man-in-the-Middle (MitM) Attacks: An attacker could intercept and modify SQL queries sent to the
/pg_meta/default/queryendpoint.
Exploitation Methods:
- Direct SQL Injection: An attacker could input malicious SQL queries directly into the UI, potentially leading to data exfiltration, modification, or deletion.
- Automated Scripts: An attacker could use automated scripts to repeatedly send malicious SQL queries, overwhelming the database and causing a denial of service (DoS).
3. Affected Systems and Software Versions
Affected Systems:
- Supabase PostgreSQL v15.1
- Supabase Dashboard product
Software Versions:
- Specifically, the vulnerability is present in Supabase PostgreSQL v15.1 and the Supabase Dashboard product.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Access Control: Implement strict access controls to ensure only authorized users can access the Supabase dashboard.
- Input Validation: Enforce robust input validation and sanitization for all SQL queries entered via the UI.
- Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection.
Long-Term Mitigation:
- Patch Management: Apply vendor-provided patches and updates as soon as they are available.
- Regular Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate similar issues.
- User Training: Educate users on the risks of SQL injection and best practices for secure querying.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the ongoing challenge of securing database interactions, particularly in environments where SQL queries are entered directly by users. It underscores the importance of:
- Robust Input Validation: Ensuring that all user inputs are properly validated and sanitized.
- Secure Coding Practices: Adopting secure coding practices to prevent SQL injection and other common vulnerabilities.
- Continuous Monitoring: Implementing continuous monitoring and logging to detect and respond to potential attacks.
6. Technical Details for Security Professionals
Technical Overview:
- Vulnerable Component:
/pg_meta/default/query - Exploitation: The vulnerability allows for the injection of malicious SQL code, which can be executed with the privileges of the database user.
- Mitigation: Implementing input validation, using parameterized queries, and enforcing strict access controls can significantly reduce the risk.
Detection and Response:
- Logging: Enable detailed logging of all SQL queries executed via the UI to detect and analyze suspicious activity.
- Intrusion Detection Systems (IDS): Deploy IDS to monitor for unusual query patterns that may indicate an SQL injection attempt.
- 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 with a combination of immediate and long-term mitigation strategies, organizations can significantly reduce the risk of SQL injection attacks and enhance their overall cybersecurity posture.