CVE-2026-88131 in Dataverse
Summary
by MITRE • 10/09/2026
Deserialization of untrusted data in Microsoft Dataverse allows an unauthorized attacker to execute code over a network.
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Analysis
by VulDB Data Team • 10/09/2026
The vulnerability identified involves a critical deserialization flaw within the architecture of Microsoft Dataverse, formerly known as Common Data Service. This component is responsible for handling complex object structures and state management across distributed systems. The core technical issue stems from the application's failure to properly validate or sanitize data prior to processing it during the deserialization phase. When an attacker supplies untrusted input that has been crafted into a malicious serialized payload, the system inadvertently interprets this data as legitimate executable code or configuration objects. This breakdown in boundary enforcement allows for arbitrary code execution with the privileges of the application process, effectively bypassing standard authentication and authorization controls if the entry point is accessible over a network interface.
From an operational perspective, the impact of this vulnerability is severe because it grants remote attackers full control over the underlying system hosting Microsoft Dataverse services. Once code execution is achieved, threat actors can manipulate data integrity, exfiltrate sensitive information stored within the database, or use the compromised server as a pivot point to attack other internal resources. This scenario aligns closely with CWE-502, which describes deserialization of untrusted data, and maps directly to MITRE ATT&CK techniques related to remote code execution such as T1059 Command and Scripting Interpreter or T1078 Valid Accounts if the attacker leverages stolen credentials to reach the vulnerable endpoint. The ability to execute code remotely without prior authentication significantly lowers the barrier for exploitation, making it a high-severity risk that requires immediate attention from security operations teams.
Mitigation strategies must focus on both technical remediation and architectural hardening. Microsoft has released specific updates and patches addressing this flaw, which should be applied immediately to all affected instances of Dataverse. In addition to patching, organizations should implement strict input validation mechanisms that reject any serialized objects not originating from trusted sources. Utilizing allow-lists for expected data types during deserialization can prevent the instantiation of dangerous classes. Furthermore, network segmentation and firewall rules should restrict access to Dataverse endpoints only to authorized IP ranges or virtual networks, reducing the attack surface exposed to potential attackers on the public internet. Monitoring logs for unusual serialization patterns or unexpected process executions can also aid in early detection of exploitation attempts before significant damage occurs.