CVE-2025-32437
Overview
CVE-2025-32437 is a known-severity vulnerability. It was published on June 18, 2026.
Technical Description
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. Prior to 0.6.63, `MediaDurationBlock` will download and store the video in a temporary directory without deleting before all noded are done. `StepThroughItemsBlock` can be used to iterate `MediaDurationBlock` multiple times. `StepThroughItemsBlock` does not limit the number of loops. In addition, `MediaDurationBlock ` does not limit the amount of disk space consumed in the current working directory and does not delete the video after outputing the result. When a malicious user chooses to screen shot many web pages, the disk space will eventually run out, causing a DoS. Version 0.6.63 patches the issue.
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.
Frequently Asked Questions
What is CVE-2025-32437?
CVE-2025-32437 is a known-severity vulnerability. It was published on June 18, 2026.
How severe is CVE-2025-32437?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2025-32437?
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-2025-32437?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-32437 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.
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