CVE-2026-23659 in Azure Data Factory
Summary
by MITRE • 03/19/2026
Exposure of sensitive information to an unauthorized actor in Azure Data Factory allows an unauthorized attacker to disclose information over a network.
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Analysis
by VulDB Data Team • 03/24/2026
The vulnerability identified as CVE-2026-23659 represents a critical exposure of sensitive information within Azure Data Factory services, creating a pathway for unauthorized actors to access confidential data through network-based disclosure mechanisms. This flaw specifically targets the information disclosure controls within Microsoft's cloud data integration platform, where proper access controls and data protection measures have been circumvented. The vulnerability manifests when Azure Data Factory components fail to adequately enforce authorization boundaries, allowing attackers to extract sensitive metadata, configuration details, or data flow information that should remain restricted to authorized personnel only. Such exposures can occur through improperly configured network endpoints, weak authentication mechanisms, or insufficient input validation within the service's communication protocols.
The technical implementation of this vulnerability stems from inadequate access control enforcement within Azure Data Factory's network-facing components, potentially leveraging weaknesses in the service's identity and access management systems. Attackers can exploit this flaw by crafting specific network requests that bypass normal authorization checks, potentially gaining visibility into pipeline configurations, connection strings, credential information, or other sensitive operational details. The vulnerability may be amplified by the inherent complexity of Azure Data Factory's architecture, which involves multiple interconnected services and components that must maintain consistent security postures. This exposure aligns with common security patterns documented in CWE-200 (Information Exposure) and CWE-284 (Improper Access Control) categories, where insufficient authorization checks lead to unauthorized information disclosure.
The operational impact of this vulnerability extends beyond simple data exposure, potentially enabling attackers to construct more sophisticated attacks by understanding the target environment's data flows, integration patterns, and system configurations. An attacker who successfully exploits this vulnerability can gain insights into the organization's data processing workflows, identify critical data assets, and potentially map out the broader Azure infrastructure landscape. This intelligence can facilitate subsequent attacks including lateral movement within the Azure environment, credential theft through exposed connection details, or even targeted attacks against specific data sources. The vulnerability particularly affects organizations that rely heavily on Azure Data Factory for their data integration needs, as it undermines the fundamental security assumptions of cloud-based data processing platforms. The risk is compounded by the fact that such information disclosure vulnerabilities often go undetected for extended periods, allowing attackers to establish persistent access patterns.
Organizations should implement immediate mitigations including enhanced network segmentation, thorough review of Azure Data Factory access policies, and implementation of comprehensive monitoring for unauthorized access attempts. The recommended approach involves strengthening authentication mechanisms, enabling detailed logging and auditing of all Data Factory operations, and conducting regular security assessments of cloud service configurations. Security controls should include mandatory multi-factor authentication for all administrative access, regular review of role-based access controls, and implementation of network-level restrictions using Azure Network Security Groups. Additionally, organizations should consider implementing Azure Key Vault integration for credential management and establish automated alerting for unusual access patterns or configuration changes. This vulnerability highlights the importance of continuous security monitoring and the need for robust cloud security posture management, aligning with ATT&CK techniques focused on credential access and reconnaissance activities. The mitigation strategy should also incorporate regular security training for administrators and development teams to prevent configuration errors that could lead to similar vulnerabilities in the future.