Apache Kafka Unauthorized Admin Access Scanner

Apache Kafka is a distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. It is widely adopted in various industries, including finance, telecommunications, and e-commerce, for real-time data processing and analytics. Developers and data engineers use Kafka to build real-time streaming data pipelines and applications that adapt quickly to data changes. It supports a wide array of clients across different programming languages, making it a versatile component in modern data architecture. Kafka's ecosystem includes tools for data replication, stream processing, and integration with other systems, providing an end-to-end solution for real-time data movement. Its architecture, based on distributed commit logs, offers resilience, fault tolerance, and high throughput.

Unauthenticated Access refers to unauthorized access to a system or application's UI, which could expose sensitive data and controls to unauthorized users. In the case of Apache Kafka, having unauthenticated access to its UI means that anyone who gains entry could potentially monitor, modify, or disrupt data streams without permission. The vulnerability arises when the user interface is improperly secured, lacking necessary authentication mechanisms to restrict access. This lack of control can allow attackers to interfere with the normal operation of Kafka clusters. The vulnerability is of significant concern because it could lead to data leaks, unauthorized data modifications, and potentially control over the Kafka instance. Security misconfigurations are often the root cause, leading to open facets of the application that can be exploited.

The vulnerability specifically involves the Apache Kafka UI, which is accessible through specific URLs without requiring authentication. The affected endpoints, such as '/ui/clusters/kafka-ui/brokers', return successful HTTP responses with status code 200 when accessed anonymously, indicating a lack of proper access control. This vulnerability is identified by matching certain keywords and response statuses in the body of the HTTP response. Operators of Apache Kafka instances must ensure that authentication layers are properly configured to prevent unauthorized users from interacting with the UI. It can include adjusting configurations for security components or patches to ensure endpoints are not publicly exposed without authorization checks. These technical issues are crucial to address to prevent data breaches and unauthorized actions within Kafka-managed systems.

If exploited, this Unauthorized Access vulnerability can lead to several harmful effects, including unauthorized monitoring of Kafka topics and consumer groups, data manipulation, and disruption of Kafka services. Malicious actors could view and potentially alter sensitive data streams that pass through Kafka, leading to data integrity issues. There is also the risk of adding or removing brokers or topics, which could disrupt the workflow of services depending on Kafka for data streaming. Such unauthorized modifications might result in application downtime, data loss, and potentially reputational damage for organizations using Kafka. Additionally, attackers might deploy further attacks by exploiting other vulnerabilities within the exposed UI.

REFERENCES

• https://www.acunetix.com/vulnerabilities/web/apache-kafka-unauthorized-access-vulnerability
• https://github.com/provectus/kafka-ui