MongoDB is affected by Twin Critical Vulnerabilities

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CVE-2025-23061: Mongoose Search Injection Vulnerability

Description: CVE-2025-23061 is a critical vulnerability identified in Mongoose versions prior to 8.9.5. The vulnerability arises due to the improper handling of nested $where filters combined with the populate() function in MongoDB queries. This flaw allows attackers to manipulate queries, leading to search injection, where malicious input can alter the intended database operations.

Severity: The vulnerability is rated as critical, with a CVSS score of 9.0. This high score reflects the significant risk it poses, as successful exploitation can result in unauthorized data access, modification, and potential system compromise.

Impact:

• Data Breach: Attackers can exploit this vulnerability to access sensitive information stored in the database.
• Data Manipulation: Malicious actors can manipulate database queries to modify or delete data, potentially leading to data integrity issues.
• System Compromise: In severe cases, exploitation can enable attackers to execute arbitrary code, compromising the entire system.

Exploitation:

• Attack Vector: Exploitation involves crafting specific queries that include malicious $where conditions. These conditions are not properly sanitized, allowing attackers to inject arbitrary code into the query.
• Known Exploits: There have been reports of this vulnerability being exploited in the wild, emphasizing the need for immediate mitigation.

Mitigation:

• Upgrade to Secure Version: The primary mitigation measure is to upgrade to Mongoose version 8.9.5 or later, where the vulnerability has been addressed.
• Avoid Nested $where Filters: Developers should avoid using nested $where filters in queries, especially when combined with populate().
• Input Validation and Sanitization: Implement strict input validation and sanitization measures to ensure that user inputs are properly checked before being included in queries.

CVE-2024-53900: Mongoose Search Injection Vulnerability

Description: CVE-2024-53900 is another critical vulnerability affecting Mongoose versions prior to 8.8.3. This vulnerability stems from the improper handling of the $where operator in match queries. It allows attackers to inject and execute arbitrary JavaScript code within MongoDB queries, leading to potential code injection attacks.

Severity: The vulnerability is rated as high severity, with a CVSS score of 9.1. This score indicates the serious risk posed by this flaw, as it can lead to significant security breaches if exploited.

Impact:

• Code Injection: Attackers can inject arbitrary JavaScript code into MongoDB queries, executing it within the database context.
• Unauthorized Access: Exploitation can lead to unauthorized access to sensitive data, compromising the confidentiality and integrity of the information.
• Database Manipulation: Malicious actors can manipulate database queries to alter, delete, or corrupt data, affecting the overall integrity of the database.

Exploitation:

• Attack Vector: Exploitation involves sending specially crafted queries that include malicious $where conditions. These conditions bypass existing security checks, allowing the injection of arbitrary code.
• Known Exploits: There have been instances of this vulnerability being exploited in real-world attacks, highlighting the importance of addressing it promptly.

Mitigation:

• Upgrade to Secure Version: The primary mitigation measure is to upgrade to Mongoose version 8.8.3 or later, where the vulnerability has been fixed.
• Strict Input Validation: Implement strict input validation and sanitization to ensure that all user inputs are thoroughly checked before being included in queries.
• Avoid Using $where Operator: Avoid using the $where operator in queries whenever possible, as it poses a higher risk of injection attacks.

Final Thoughts

Both CVE-2025-23061 and CVE-2024-53900 are critical vulnerabilities that pose significant risks to applications using affected versions of Mongoose. By promptly upgrading to the latest secure versions and implementing robust input validation and sanitization practices, organizations can mitigate these vulnerabilities and protect their databases from potential exploitation.