CVE-2024-21312
Published: 09 January 2024
Summary
CVE-2024-21312 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft .Net Framework. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 9.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-21312 is a denial-of-service vulnerability in the .NET Framework that carries a CVSS 3.1 base score of 7.5. The flaw is associated with CWE-20 and permits an unauthenticated network attacker to trigger a high-impact availability condition without any user interaction.
An attacker can send specially crafted requests over the network to affected .NET Framework installations, resulting in service disruption while leaving confidentiality and integrity unaffected. The attack requires no privileges and can be performed remotely with low complexity.
Microsoft has published remediation guidance for the issue through its Security Response Center, and NetApp has issued a corresponding advisory referencing the same CVE. The associated EPSS score has remained flat at 0.0588 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-19025
Vulnerability details
.NET Framework 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.