CVE-2023-28302
Published: 11 April 2023
Summary
CVE-2023-28302 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows Server 2008. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 2.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2023-28302 is a denial of service vulnerability in Microsoft Message Queuing (MSMQ) that was published on 11 April 2023. The flaw carries a CVSS 3.1 base score of 7.5 under the vector AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H and is linked to CWE-20. It affects the MSMQ component in supported Windows installations.
Unauthenticated remote attackers can send specially crafted network messages to trigger the denial of service condition, resulting in high impact to availability while requiring no credentials or user interaction.
Microsoft has published official guidance for the issue in its Security Response Center update guide at the referenced MSRC URLs.
The associated EPSS score reached a peak of 0.3841 with a current value of 0.3544.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-32009
Vulnerability details
Microsoft Message Queuing (MSMQ) Denial of Service Vulnerability
- 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.