Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2023-39975

8.8 · HIGH
Published Aug 16, 2023 mit CWE-415 EPSS 1.47% (72th pctl)

Overview

CVE-2023-39975 is a high-severity vulnerability affecting mit kerberos_5. It was published on August 16, 2023 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

kdc/do_tgs_req.c in MIT Kerberos 5 (aka krb5) 1.21 before 1.21.2 has a double free that is reachable if an authenticated user can trigger an authorization-data handling failure. Incorrect data is copied from one ticket to another.

Remediation

Check the references section for vendor advisories and patches from mit. Update kerberos_5 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
mit kerberos_5 >= 1.21, < 1.21.2 Affected

Frequently Asked Questions

What is CVE-2023-39975?

CVE-2023-39975 is a high-severity vulnerability affecting mit kerberos_5. It was published on August 16, 2023 and has a CVSS 3.1 base score of 8.8 (HIGH).

How severe is CVE-2023-39975?

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-2023-39975?

Check the references section for vendor advisories and patches from mit. Update kerberos_5 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-2023-39975?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-39975 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.