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Attack Surface Analysis for apache/kafka

  • Description: Kafka broker ports (e.g., 9092) are exposed to the network without proper access controls, allowing unauthorized connections.
  • Kafka Contribution: Kafka requires network ports to be open for producers, consumers, and inter-broker communication, inherently creating network exposure.
  • Example: Kafka broker port 9092 is directly accessible from the public internet without firewall rules or network segmentation.
  • Impact: Unauthorized access to Kafka cluster, potential data breaches, denial of service attacks, cluster disruption.
  • Risk Severity: High
  • Mitigation Strategies:
    • Implement firewall rules to restrict access to Kafka ports to only trusted networks and clients.
    • Utilize network segmentation to isolate Kafka brokers within a secure network zone.
    • Consider using a VPN or private network for Kafka client connections.
  • Description: Kafka's default configuration lacks authentication and authorization, allowing any client to connect and perform actions.
  • Kafka Contribution: Kafka, by default, does not enforce authentication or authorization, requiring explicit configuration for security.
  • Example: An attacker connects to the Kafka broker without any credentials and is able to produce messages to sensitive topics or consume data without permission.
  • Impact: Unauthorized data access, data injection, data corruption, compliance violations, potential for malicious activities within the application.
  • Risk Severity: Critical
  • Mitigation Strategies:
    • Enable authentication mechanisms such as SASL/PLAIN, SASL/SCRAM, or Kerberos.
    • Implement Kafka ACLs (Access Control Lists) to define granular authorization rules for topics, consumer groups, and cluster operations.
    • Follow the principle of least privilege when configuring ACLs.
  • Description: Data transmitted between Kafka clients and brokers, or between brokers, is sent in plaintext without encryption.
  • Kafka Contribution: Kafka communication, by default, is not encrypted and requires explicit configuration of TLS/SSL for secure communication.
  • Example: Sensitive data is transmitted in plaintext between a producer application and a Kafka broker, and a network attacker eavesdrops on the traffic to capture the data.
  • Impact: Data breaches due to eavesdropping, exposure of sensitive information in transit, non-compliance with data protection regulations.
  • Risk Severity: High
  • Mitigation Strategies:
    • Enable TLS/SSL encryption for all Kafka listeners, including client-broker and inter-broker communication.
    • Ensure proper certificate management and validation for TLS/SSL configurations.
  • Description: Software vulnerabilities present in Kafka brokers, ZooKeeper/Kraft, Kafka Connect, Kafka Streams, or their dependencies (e.g., JRE, libraries).
  • Kafka Contribution: Kafka, like any software, is susceptible to vulnerabilities, and its reliance on dependencies introduces further potential vulnerabilities.
  • Example: A known vulnerability in an older version of Kafka broker or the underlying Java Runtime Environment (JRE) is exploited by an attacker to gain remote code execution.
  • Impact: System compromise, data breaches, denial of service, data corruption, depending on the nature of the vulnerability.
  • Risk Severity: High to Critical
  • Mitigation Strategies:
    • Keep Kafka and all its components updated to the latest stable versions.
    • Regularly apply security patches and updates released by the Apache Kafka project and its dependency providers.
    • Implement vulnerability scanning and management processes.
  • Description: Incorrectly configuring critical security features like TLS/SSL, SASL, or ACLs, rendering them ineffective or creating new vulnerabilities that lead to high impact.
  • Kafka Contribution: Kafka's security features are powerful but require careful and correct configuration to be effective, and critical misconfigurations can negate their benefits leading to high risk.
  • Example: TLS/SSL is enabled, but certificate validation is disabled, making the connection vulnerable to man-in-the-middle (MITM) attacks despite using encryption. ACLs are set up but are overly permissive granting wide access.
  • Impact: Bypassing intended security controls, data breaches, unauthorized access, potential for exploitation due to weakened security posture.
  • Risk Severity: High
  • Mitigation Strategies:
    • Thoroughly test and validate security configurations after implementation and changes.
    • Follow official documentation and best practices when configuring security features.
    • Conduct security audits and penetration testing to identify misconfigurations and weaknesses.
  • Description: High severity vulnerabilities in third-party Kafka Connect connectors used to integrate Kafka with external systems, that can directly impact Kafka or connected systems.
  • Kafka Contribution: Kafka Connect's extensibility through connectors introduces a dependency on external code, which may contain high severity vulnerabilities exploitable through Kafka Connect.
  • Example: A vulnerable Kafka Connect connector has a remote code execution vulnerability that can be triggered by a malicious message processed by the connector, leading to compromise of the Kafka Connect worker and potentially Kafka cluster.
  • Impact: Data breaches in connected systems, compromise of Kafka Connect workers, potential for lateral movement to other parts of the application infrastructure, denial of service.
  • Risk Severity: High
  • Mitigation Strategies:
    • Carefully vet and select Kafka Connect connectors from trusted and reputable sources.
    • Keep connectors updated to the latest versions and apply security patches, especially for high severity vulnerabilities.
    • Regularly audit and monitor connectors for known vulnerabilities and security updates.