CVE-2024-2260: Session Fixation Vulnerability in zenml-io/zenml

Published Apr 16, 2024
·
Updated

A session fixation vulnerability exists in the zenml-io/zenml application, where JWT tokens used for user authentication are not invalidated upon logout. This flaw allows an attacker to bypass authentication mechanisms by reusing a victim's JWT token.

Affected Software

2 affected componentsFixes available
pip/zenml<0.56.2
0.56.2
ZenML ZenML<0.56.2

Event History

Apr 16, 2024
CVE Published
via MITRE·12:00 AM
Data Sourced
via MITRE·12:00 AM
DescriptionSeverityWeakness
Advisory Published
via GitHub·12:30 AM
Data Sourced
via GitHub·12:30 AM
DescriptionSeverityWeaknessAffected Software
Free Weekly Intel

Don't miss critical vulnerabilities

Join thousands of security professionals who receive our weekly digest of trending CVEs, zero-days, and exploited vulnerabilities.

No spam. Unsubscribe anytime.

Frequently Asked Questions

1

What is the severity of CVE-2024-2260?

CVE-2024-2260 is classified as a high-severity vulnerability due to its potential to allow unauthorized access to user accounts.

2

How do I fix CVE-2024-2260?

To fix CVE-2024-2260, upgrade ZeusML to version 0.56.2 or later, where JWT token invalidation upon logout is properly implemented.

3

What is the impact of CVE-2024-2260?

The impact of CVE-2024-2260 allows an attacker to bypass authentication by reusing JWT tokens of logged-out users.

4

Which versions of ZenML are affected by CVE-2024-2260?

CVE-2024-2260 affects all versions of ZenML prior to 0.56.2.

5

Is user data at risk with CVE-2024-2260?

Yes, user data is at risk with CVE-2024-2260 since it can lead to unauthorized account access if not resolved.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203