CVE-2024-49040
Microsoft Exchange Server 2016 … 2019
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:NSummary
CVE-2024-49040 is a high-severity User Interface (UI) Misrepresentation of Critical Information (CWE-451) vulnerability in Microsoft Exchange Server. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Phishing (T1566); ranked in the top 6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Microsoft Exchange Server is affected by a spoofing vulnerability tracked as CVE-2024-49040. The flaw received a CVSS v3.1 base score of 7.5 reflecting a network attack vector that requires no privileges or user interaction and produces a high impact on integrity, and it is catalogued under CWE-451.
An unauthenticated remote attacker can send specially crafted requests to spoof identity or content, thereby altering information processed by the server without any interaction from legitimate users.
The associated EPSS probability rose from a low baseline to a peak of 0.1561 on 2025-12-18 before receding to its current value of 0.0539, indicating that exploitation interest emerged after public disclosure. Official mitigation details are provided in the Microsoft Security Response Center advisory at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-49040.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-43911
Vulnerability Data
Microsoft Exchange Server Spoofing Vulnerability
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly address design and implementation of accurate, non-spoofable UI elements.
User awareness training helps people recognize and avoid harm from UI misrepresentation such as phishing, but does not prevent the flaw itself.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing can detect UI misrepresentation vulnerabilities before deployment.
Security awareness training can teach users to recognize UI misrepresentation and phishing attempts.
Web filtering can block known phishing sites that exploit UI misrepresentation.
Secure development lifecycle includes UI/UX security requirements that can prevent misrepresentation of critical information.
Application security requirements can mandate proper display and validation of critical information in the UI.
Secure coding practices can prevent UI flaws that obscure or spoof critical information.