Azure Data Factory Vulnerabilities Risk Cloud Infrastructure Security
2024-12-18
Need some ammo against Microsoft Azure? Have a customer or prospect that uses Azure? This article is for you!
Researchers identified three vulnerabilities in Azure Data Factory's Apache Airflow integration that could let attackers gain unauthorized control over an enterprise's cloud infrastructure. These flaws, involving misconfigured Kubernetes role-based access control, improper secret handling of Azure's Geneva service, and weak authentication, could allow persistent shadow administrative access, potentially leading to data exfiltration and malware deployment. Exploitation could occur via unauthorized DAG file manipulation or compromised Git repository access. Although Microsoft classified these as low-severity, the vulnerabilities underscore the need for robust cloud security measures beyond perimeter defenses, emphasizing internal permissions, configurations, and comprehensive monitoring.
Misconfiguration, Over Permissive Roles, Git/Repo Breach, Weak or Compromised Credentials, Cloud Service Provider Flaw
Azure Data Factory, Apache Airflow, Kubernetes RBAC, Cloud Vulnerabilities, Microsoft Azure, Geneva Service
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Microsoft Azure, Apache Airflow, Azure Kubernetes Service (AKS), Azure Geneva service
Researchers have discovered three vulnerabilities within Azure Data Factory's integration with Apache Airflow that could enable attackers to gain unauthorized control over cloud infrastructure. These vulnerabilities pose significant risks, including data theft and malware deployment. The vulnerabilities were identified by Palo Alto Networks' Unit 42 and include: Microsoft classified these issues as low-severity, but the potential impact is significant. Exploiting these vulnerabilities could allow attackers to achieve persistent shadow administrative access over the Airflow Azure Kubernetes Service (AKS) cluster, enabling further malicious activities. Unit 42 described two main scenarios for exploiting these vulnerabilities: Directed Acyclic Graph (DAG) File Manipulation: Attackers could gain unauthorized write permissions to a DAG file, which defines workflow structures in Apache Airflow. This could be done by leveraging a principal account with write permissions or using a shared access signature (SAS) token. A compromised DAG file can execute malicious code once imported by the victim. Compromised Git Repository Access: By obtaining leaked credentials or exploiting a misconfigured Git repository, attackers can modify or create malicious DAG files. These files are then automatically imported and executed by the Airflow cluster, potentially opening a reverse shell for remote control. These vulnerabilities highlight the critical need for robust security measures within cloud environments. It's essential to go beyond perimeter defenses and focus on securing internal permissions and configurations. Enterprises should also monitor third-party services and manage service permissions vigilantly. While Microsoft has resolved the identified issues, this incident serves as a reminder of the importance of comprehensive cloud security strategies. By understanding and mitigating these vulnerabilities, organizations can better protect their cloud infrastructure from unauthorized access and potential attacks.Azure Data Factory Vulnerabilities: A Potential Threat to Cloud Infrastructure
Vulnerabilities Overview
Exploitation Paths
Implications and Recommendations
https://www.darkreading.com/cloud-security/azure-data-factory-bugs-expose-cloud-infrastructure