CVE-2025-49715
Published: 20 June 2025
Summary
CVE-2025-49715 is a high-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability in Microsoft Dynamics 365. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 8.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-49715 is an information exposure vulnerability, tracked under CWE-359, that affects Dynamics 365 FastTrack Implementation Assets. The flaw permits unauthorized disclosure of private personal information and carries a CVSS 3.1 base score of 7.5 reflecting network attack vector, low complexity, and no required privileges or user interaction.
An unauthenticated attacker can exploit the issue remotely over a network to obtain sensitive data stored or processed by the affected component, resulting in high confidentiality impact without affecting integrity or availability.
The associated Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-49715 provides official guidance on the issue. The EPSS score rose from a low baseline to a recorded peak of 0.0823, indicating emerging exploitation interest after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-21174
Vulnerability details
Exposure of private personal information to an unauthorized actor in Dynamics 365 FastTrack Implementation Assets allows an unauthorized attacker to disclose information over a network.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking identifies private personal information in outputs, tangibly reducing the ability to exploit weaknesses that result in its unauthorized exposure.
Privacy-specific attributes and their controlled association directly reduce exposure of private personal information through missing or incorrect labeling.
Preventing nonpublic personal information from public posting reduces unauthorized exposure of private personal data.
The control detects and protects against mining of private personal information, reducing unauthorized exposure of PII.
Privacy literacy training directly targets preventing exposure of personal information through user mishandling.
Tracking locations of sensitive data and access users reduces risk of private personal information exposure.
PIA explicitly identifies PII collection/use/disclosure flows and drives mitigations that reduce the likelihood of unauthorized exposure of private personal information.
The control specifically requires architectures that minimize privacy risk when processing PII, directly addressing exposure of personal information.