CVE-2025-47732 in Dataverse
Summary
by MITRE • 05/09/2025
Deserialization of untrusted data in Microsoft Dataverse allows an authorized attacker to execute code over a network.
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Analysis
by VulDB Data Team • 02/14/2026
The vulnerability identified as CVE-2025-47732 represents a critical deserialization flaw within Microsoft Dataverse platform that enables authenticated attackers to achieve remote code execution through network-based attacks. This vulnerability resides in the way Dataverse processes untrusted data during deserialization operations, creating an exploitable vector that can be leveraged by threat actors who have already gained legitimate access to the system. The flaw specifically affects the platform's data processing mechanisms where serialized objects are consumed without adequate validation or sanitization of input data, allowing malicious payloads to be executed within the context of the running application.
The technical implementation of this vulnerability stems from insufficient input validation and sanitization practices within Dataverse's deserialization pipeline. When legitimate users submit data that gets serialized and subsequently deserialized by the platform, the system fails to properly validate the integrity and content of these serialized objects. This weakness creates an opportunity for attackers to craft malicious serialized data that, when processed by the vulnerable system, triggers arbitrary code execution. The attack typically requires an authenticated session within the Dataverse environment, making it particularly dangerous as it can be exploited by insiders or compromised legitimate users. The vulnerability aligns with CWE-502 which specifically addresses deserialization of untrusted data as a critical security weakness, and maps to ATT&CK technique T1059.007 for remote code execution through application layer attacks.
The operational impact of CVE-2025-47732 extends beyond immediate code execution capabilities to encompass potential lateral movement and persistent access within affected environments. Attackers who successfully exploit this vulnerability can establish footholds for further compromise, potentially escalating privileges and accessing additional system resources. The network-based nature of the exploit means that attackers do not require physical access to the system, making it particularly challenging to detect and prevent. Organizations utilizing Dataverse for business applications, data processing, and workflow automation face significant risk as this vulnerability can be leveraged to compromise sensitive business data, disrupt operations, and potentially cause financial losses. The vulnerability's impact is amplified in environments where Dataverse integrates with other Microsoft services or third-party applications that may share authentication contexts or data flows.
Mitigation strategies for CVE-2025-47732 should focus on implementing comprehensive input validation and sanitization measures across all data processing pipelines within Dataverse. Organizations must ensure that all serialized data undergoes strict validation before deserialization occurs, including implementing proper object type checking and content filtering mechanisms. Network segmentation and access controls should be enhanced to limit the potential impact of successful exploitation attempts. Regular security updates and patches from Microsoft should be implemented immediately upon availability, as the vendor will likely release specific fixes for this vulnerability. Additionally, monitoring systems should be configured to detect anomalous deserialization patterns and unusual data processing activities that may indicate exploitation attempts. Security teams should also consider implementing application whitelisting policies and restricting the execution of untrusted code within the Dataverse environment. The remediation approach should align with security frameworks such as the OWASP Top Ten and NIST Cybersecurity Framework, emphasizing the importance of secure coding practices and defense-in-depth strategies to protect against similar vulnerabilities in the future.