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CVE-2023-6572

8.1 · HIGH
Published Dec 14, 2023 gradio_project CWE-77 EPSS 1.72% (76th pctl)

Overview

CVE-2023-6572 is a high-severity vulnerability affecting gradio_project gradio. It was published on December 14, 2023 and has a CVSS 3.1 base score of 8.1 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.1, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Command Injection in GitHub repository gradio-app/gradio prior to main.

Remediation

Check the references section for vendor advisories and patches from gradio_project. Update gradio 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
gradio_project gradio >= 0, < 4.14.0 Affected

Frequently Asked Questions

What is CVE-2023-6572?

CVE-2023-6572 is a high-severity vulnerability affecting gradio_project gradio. It was published on December 14, 2023 and has a CVSS 3.1 base score of 8.1 (HIGH).

How severe is CVE-2023-6572?

This vulnerability has a CVSS 3.1 base score of 8.1, 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-2023-6572?

Check the references section for vendor advisories and patches from gradio_project. Update gradio 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-2023-6572?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-6572 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.