Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2005-3302

7.3 · HIGH
Published Oct 24, 2005 blender CWE-94

Overview

CVE-2005-3302 is a high-severity vulnerability affecting blender blender. It was published on October 24, 2005 and has a CVSS 3.1 base score of 7.3 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.3, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

Eval injection vulnerability in bvh_import.py in Blender 2.36 allows attackers to execute arbitrary Python code via a hierarchy element in a .bvh file, which is supplied to an eval function call.

Remediation

Check the references section for vendor advisories and patches from blender. Update blender 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

Frequently Asked Questions

What is CVE-2005-3302?

CVE-2005-3302 is a high-severity vulnerability affecting blender blender. It was published on October 24, 2005 and has a CVSS 3.1 base score of 7.3 (HIGH).

How severe is CVE-2005-3302?

This vulnerability has a CVSS 3.1 base score of 7.3, 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-2005-3302?

Check the references section for vendor advisories and patches from blender. Update blender 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-2005-3302?

CyberStrike's AI-powered security agents can automatically detect CVE-2005-3302 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.