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CVE-2024-37568

7.5 · HIGH
Published Jun 9, 2024 authlib CWE-347 EPSS 0.38% (31th pctl)

Overview

CVE-2024-37568 is a high-severity vulnerability affecting authlib authlib. It was published on June 9, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

lepture Authlib before 1.3.1 has algorithm confusion with asymmetric public keys. Unless an algorithm is specified in a jwt.decode call, HMAC verification is allowed with any asymmetric public key. (This is similar to CVE-2022-29217 and CVE-2024-33663.)

Remediation

Check the references section for vendor advisories and patches from authlib. Update authlib 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
authlib authlib >= 0, < 1.3.1 Affected

Frequently Asked Questions

What is CVE-2024-37568?

CVE-2024-37568 is a high-severity vulnerability affecting authlib authlib. It was published on June 9, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2024-37568?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2024-37568?

Check the references section for vendor advisories and patches from authlib. Update authlib 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-2024-37568?

CyberStrike's AI-powered security agents can automatically detect CVE-2024-37568 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.