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MongoDB Multiple Vulnerabilities

An authenticated remote attacker can exploit vulnerabilities in MongoDB to execute arbitrary code, manipulate data, disclose confidential information, or cause a denial-of-service condition.

Multiple vulnerabilities in MongoDB allow an authenticated remote attacker to perform several malicious actions. These include arbitrary code execution, data manipulation, confidential information disclosure, and denial-of-service attacks. The vulnerabilities stem from unspecified weaknesses within MongoDB’s handling of authenticated sessions. While the specifics of the vulnerabilities are not detailed in the advisory, the high-level impacts pose significant risks. MongoDB is a widely-used NoSQL database, and successful exploitation could lead to widespread data breaches, system compromise, and service disruption. Defenders need to ensure MongoDB instances are patched and secured.

Attack Chain

  1. An attacker gains valid credentials to a MongoDB instance through credential stuffing, phishing, or other means.
  2. The attacker authenticates to the MongoDB instance using the compromised credentials.
  3. The attacker exploits an unspecified vulnerability related to data manipulation.
  4. By exploiting the vulnerability, the attacker is able to inject malicious code.
  5. The attacker leverages code execution to install a reverse shell.
  6. The attacker uses the reverse shell to escalate privileges within the MongoDB server.
  7. The attacker dumps sensitive data or modifies data within the MongoDB database.
  8. The attacker causes a denial-of-service condition to disrupt MongoDB database availability.

Impact

Successful exploitation of these vulnerabilities could lead to complete compromise of the MongoDB database, including unauthorized access to sensitive data, data manipulation, and service disruption. The impact is significant, especially for organizations relying on MongoDB for critical applications. The advisory does not specify the number of victims, but the potential scope is broad due to MongoDB’s popularity. Consequences include data breaches, financial loss, and reputational damage.

Recommendation

  • Monitor MongoDB logs for suspicious authentication attempts and unusual database activity ([logsource: mongodb]).
  • Implement strict access controls and multi-factor authentication to mitigate the risk of credential compromise.
  • Deploy the Sigma rule “Detect Suspicious MongoDB Client Connections” to identify potentially malicious connections to MongoDB instances.

Detection coverage 2

Detect Suspicious MongoDB Client Connections

medium

Detects unusual client IP addresses connecting to MongoDB based on network connection logs

sigma tactics: discovery techniques: T1018 sources: network_connection, windows

Detect Suspicious MongoDB Client Connections Linux

medium

Detects unusual client IP addresses connecting to MongoDB based on network connection logs - Linux

sigma tactics: discovery techniques: T1018 sources: network_connection, linux

Detection queries are available on the platform. Get full rules →