CVE-2024-26164
Published: 12 March 2024
Summary
CVE-2024-26164 is a high-severity Improper Input Validation (CWE-20) vulnerability in Microsoft Django Backend. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 8.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2024-26164 is a remote code execution vulnerability affecting the Microsoft Django Backend for SQL Server, a component that enables Django applications to connect to Microsoft SQL Server databases. The flaw carries a CVSS 3.1 base score of 8.8 and is associated with CWE-20 improper input validation.
An attacker with low privileges can exploit the issue over the network with low attack complexity and no user interaction, resulting in full compromise of confidentiality, integrity, and availability on the affected system.
The Microsoft Security Response Center advisory recommends applying the updates referenced at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-26164. The associated EPSS score has remained low and stable, with a current value of 0.0627 and a peak of 0.0643, indicating no significant post-disclosure exploitation interest.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-1017
Vulnerability details
Microsoft Django Backend for SQL Server 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.