CVE-2024-21642
7.5 · HIGHD-Tale is a visualizer for Pandas data structures.
Overview
CVE-2024-21642 is a high-severity vulnerability. It was published on January 5, 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
D-Tale is a visualizer for Pandas data structures. Users hosting versions D-Tale prior to 3.9.0 publicly can be vulnerable to server-side request forgery (SSRF), allowing attackers to access files on the server. Users should upgrade to version 3.9.0, where the `Load From the Web` input is turned off by default. The only workaround for versions earlier than 3.9.0 is to only host D-Tale to trusted users.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. 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.
References
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Frequently asked questions
What is CVE-2024-21642?
CVE-2024-21642 is a high-severity vulnerability. It was published on January 5, 2024 and has a CVSS 3.1 base score of 7.5 (HIGH).
How severe is CVE-2024-21642?
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-2024-21642?
Check the references section for vendor advisories, patches, and mitigation guidance. 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-2024-21642?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2024-21642 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.
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