CVE-2026-62834 in Azure Data Factory
Summary
by MITRE • 08/21/2026
Improper verification of cryptographic signature in Azure Data Factory allows an unauthorized attacker to elevate privileges over a network.
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Analysis
by VulDB Data Team • 08/21/2026
The vulnerability identified within Microsoft Azure Data Factory represents a critical failure in the implementation of cryptographic integrity checks, specifically categorized under CWE-347: Improper Verification of Cryptographic Signature. This flaw resides in the component responsible for validating digital signatures used to authenticate and authorize operations performed by users or services interacting with the data factory environment. In secure systems, these signatures serve as a fundamental trust anchor, ensuring that commands originate from legitimate entities and have not been tampered with during transmission. When this verification process is bypassed or executed incorrectly, the system fails to distinguish between authentic requests crafted by authorized administrators and maliciously constructed packets generated by an attacker seeking unauthorized access.
From a technical perspective, the exploitation of this vulnerability allows for privilege escalation through network-based attacks. An adversary can intercept valid cryptographic tokens or signatures associated with legitimate administrative actions and replay them in modified contexts, or forge new signatures that appear valid to the flawed verification logic within Azure Data Factory. This capability enables the attacker to execute high-privilege operations such as modifying pipeline configurations, accessing sensitive data sources, or deploying malicious code execution steps without possessing the actual credentials required for those roles. The attack vector is classified under MITRE ATT&CK technique T1078: Valid Accounts, specifically involving the misuse of existing valid accounts and permissions through signature manipulation rather than credential theft.
The operational impact of this vulnerability is severe due to the central role Azure Data Factory plays in enterprise data integration workflows. Successful exploitation grants an unauthorized actor control over critical data movement processes, potentially leading to large-scale data exfiltration, integrity compromise of stored datasets, or disruption of business-critical analytics pipelines. Since these operations occur over a network, the attack can be launched remotely without physical access to the infrastructure, significantly expanding the potential blast radius across connected cloud environments and on-premises systems linked via hybrid connections.
Mitigation strategies must focus on immediate patching by Microsoft for any affected versions of Azure Data Factory components involved in signature verification. In the interim, organizations should enforce strict network segmentation policies to limit exposure to untrusted networks and implement rigorous monitoring using tools like Microsoft Sentinel or Azure Monitor to detect anomalous patterns indicative of signature replay attacks. Additionally, adopting a zero-trust architecture where every request is independently verified regardless of origin can help mitigate risks associated with flawed cryptographic validation mechanisms in legacy components.