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CVE-2024-26164

8.8 · HIGH
Published Mar 12, 2024 microsoft CWE-20 EPSS 2.11% (80th pctl)

Overview

CVE-2024-26164 is a high-severity vulnerability affecting microsoft django_backend. It was published on March 12, 2024 and has a CVSS 3.1 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Microsoft Django Backend for SQL Server Remote Code Execution Vulnerability

Remediation

Check the references section for vendor advisories and patches from microsoft. Update django_backend to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
microsoft django_backend >= 0, < 1.4.1 Affected

Frequently Asked Questions

What is CVE-2024-26164?

CVE-2024-26164 is a high-severity vulnerability affecting microsoft django_backend. It was published on March 12, 2024 and has a CVSS 3.1 base score of 8.8 (HIGH).

How severe is CVE-2024-26164?

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2024-26164?

Check the references section for vendor advisories and patches from microsoft. Update django_backend to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2024-26164?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-26164 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.