CVE-2025-29805
Published: 08 April 2025
Summary
CVE-2025-29805 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Microsoft Outlook. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 7.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-29805 is an information exposure vulnerability (CWE-200) affecting Outlook for Android. The flaw allows sensitive data to be disclosed to unauthorized actors and carries a CVSS 3.1 score of 7.5 reflecting network attack vector, low attack complexity, and no requirements for authentication or user interaction, resulting in high confidentiality impact with no integrity or availability effects.
An unauthenticated attacker with network access can exploit the issue to obtain sensitive information from Outlook for Android instances without any user involvement.
Microsoft has published an advisory for CVE-2025-29805 at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-29805 that addresses the vulnerability. The associated EPSS score has remained flat at 0.0925 with no material increase observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-10116
Vulnerability details
Exposure of sensitive information to an unauthorized actor in Outlook for Android 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 applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.