CVE-2024-43611
Published: 08 October 2024
Summary
CVE-2024-43611 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Windows Server 2008. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 7.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Windows Routing and Remote Access Service (RRAS) contains a remote code execution vulnerability identified as CVE-2024-43611. The affected component is the RRAS service on Windows, with the issue classified under CWEs related to improper input validation and heap-based buffer overflow. It received a CVSS 3.1 score of 8.8 reflecting network attack vector, low attack complexity, and low required privileges.
An authenticated attacker with low privileges can send specially crafted network traffic to trigger the flaw, achieving arbitrary code execution that fully impacts confidentiality, integrity, and availability on the target system without requiring user interaction.
Microsoft published an advisory detailing the vulnerability and available updates at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-43611. The current and peak EPSS score of 0.0832 shows no material rise after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-40360
Vulnerability details
Windows Routing and Remote Access Service (RRAS) Remote Code Execution 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.