CVE-2026-23659

8.6

Microsoft · Azure Data Factory

A vulnerability in Azure Data Factory allows an unauthenticated attacker to disclose sensitive information over a network.

Executive summary

A critical information disclosure vulnerability in Microsoft Azure Data Factory enables unauthorized actors to access sensitive data, posing a significant risk to organizational confidentiality.

Vulnerability

This is an exposure of sensitive information (CWE-200) that allows an unauthenticated attacker to bypass access controls and disclose information over a network. The vulnerability is remotely exploitable without requiring authentication or user interaction.

Business impact

The potential for unauthorized disclosure of sensitive information represents a severe risk to data privacy and regulatory compliance. With a CVSS score of 8.6, this high-severity flaw could lead to the exposure of proprietary data, credentials, or customer information, resulting in significant reputational damage and potential legal liabilities.

Remediation

Immediate Action: Review the Microsoft Security Update Guide for the latest patches and apply all relevant updates to your Azure Data Factory instances immediately.

Proactive Monitoring: Monitor Azure Monitor and Log Analytics for unusual data access patterns, unauthorized API requests, or anomalous egress traffic originating from the Data Factory environment.

Compensating Controls: Implement strict network security groups and Azure Policy rules to restrict access to Data Factory endpoints, ensuring that only trusted IP ranges can communicate with the service.

Exploitation status

Public Exploit Available: No (exploit_available: false).

Analyst recommendation

Given the high CVSS score and the potential for unauthenticated data exfiltration, this vulnerability must be treated as a priority. Administrators should monitor the official Microsoft Security Response Center (MSRC) portal for specific patch release information and deploy updates as soon as they are made available to protect the integrity of the data environment.

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