CVE-2023-22578: Sequelize SQL Injection Vulnerability

CVE-2023-22578 Overview

CVE-2023-22578 is a SQL injection vulnerability affecting the Sequelize.js library, a popular promise-based Node.js ORM (Object-Relational Mapping) for PostgreSQL, MySQL, MariaDB, SQLite, and Microsoft SQL Server. Due to improper attribute filtering in the library, attackers can perform SQL injection attacks against applications using vulnerable versions of Sequelize.

Critical Impact

This SQL injection vulnerability allows unauthenticated remote attackers to execute arbitrary SQL commands against the database, potentially leading to complete database compromise, data exfiltration, data modification, or deletion.

Affected Products

• Sequelize.js versions prior to the security fix
• Sequelize 7.0.0 alpha versions (alpha1 through alpha19)
• Sequelize 7.0.0 oc_test versions (oc_test_1 through oc_test_4)

Discovery Timeline

• 2023-02-16 - CVE-2023-22578 published to NVD
• 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2023-22578

Vulnerability Analysis

This vulnerability stems from improper attribute filtering within the Sequelize.js ORM library. Sequelize is designed to abstract database interactions and provide a safe interface for Node.js applications to interact with SQL databases. However, a flaw in how the library processes and filters user-supplied attributes allows malicious input to bypass sanitization controls and be injected directly into SQL queries.

The vulnerability is classified under CWE-790 (Improper Filtering of Special Elements), indicating that the library fails to adequately filter or sanitize special characters and SQL syntax elements from user input before incorporating them into database queries. This weakness enables attackers to craft malicious payloads that escape the intended query context and execute arbitrary SQL statements.

Root Cause

The root cause of CVE-2023-22578 lies in insufficient input validation and attribute filtering within Sequelize's query generation mechanisms. When user-controlled data is passed to certain Sequelize methods or model operations, the library's filtering logic fails to properly escape or reject potentially dangerous SQL syntax. This allows specially crafted input to break out of the intended query structure and inject arbitrary SQL commands.

The improper filtering affects how attributes are processed before being interpolated into queries, creating an injection point that bypasses the ORM's typical protection mechanisms against SQL injection attacks.

Attack Vector

The attack vector for this vulnerability is network-based, requiring no authentication or user interaction. An attacker can exploit this vulnerability remotely by sending malicious requests to a web application that uses a vulnerable version of Sequelize. The attack flow typically involves:

1. Identifying an application endpoint that accepts user input processed by Sequelize
2. Crafting a malicious payload containing SQL injection syntax within attribute values
3. Sending the payload to the vulnerable application
4. The improper attribute filtering allows the malicious SQL to be executed against the database

Due to the improper attribute filtering in Sequelize, attackers can inject SQL commands through input fields that are processed by the ORM. The malicious input bypasses the library's sanitization mechanisms and is executed directly against the underlying database. Successful exploitation can result in unauthorized data access, data manipulation, privilege escalation within the database, or complete database compromise. For detailed technical information, refer to the DIVD CVE-2023-22578 Report.

Detection Methods for CVE-2023-22578

Indicators of Compromise

• Unusual or malformed SQL queries in database logs containing unexpected syntax or commands
• Application error logs showing SQL syntax errors from injection attempts
• Unexpected database operations such as unauthorized SELECT, INSERT, UPDATE, or DELETE commands
• Evidence of data exfiltration or unauthorized database access in audit logs

Detection Strategies

• Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests
• Monitor application logs for signs of SQL injection attempts, including error messages referencing SQL syntax
• Deploy database activity monitoring to detect anomalous query patterns or unauthorized data access
• Use Static Application Security Testing (SAST) tools to identify vulnerable Sequelize versions in your codebase

Monitoring Recommendations

• Enable detailed logging on database servers to capture all query activity
• Configure alerts for suspicious database operations or unusual query volumes
• Implement runtime application self-protection (RASP) to detect injection attempts at the application layer
• Regularly audit npm dependencies to identify applications using vulnerable Sequelize versions

How to Mitigate CVE-2023-22578

Immediate Actions Required

• Identify all applications in your environment using Sequelize.js and determine their version numbers
• Update Sequelize to the latest patched version that addresses CVE-2023-22578
• Review application code for custom query construction that may bypass ORM protections
• Implement input validation at the application layer as an additional defense measure

Patch Information

Organizations should update their Sequelize.js dependency to the latest stable version that includes the security fix for this vulnerability. Review the DIVD DIVD-2022-00020 Overview for detailed remediation guidance. Use npm update sequelize or yarn upgrade sequelize to update the package in your Node.js projects. Verify the update by checking package.json and package-lock.json for the new version number.

Workarounds

• Implement strict input validation and sanitization at the application layer before data reaches Sequelize
• Use parameterized queries and avoid raw query methods where possible
• Apply the principle of least privilege to database accounts used by the application
• Deploy a Web Application Firewall configured with SQL injection detection rules as a temporary protective measure

# Update Sequelize to the latest version
npm update sequelize

# Or specify a specific patched version
npm install sequelize@latest

# Verify the installed version
npm list sequelize

# Audit for known vulnerabilities
npm audit