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CVE-2005-2875

7.5 · HIGH
Published Sep 13, 2005 py2play EPSS 1.91% (78th pctl)

Overview

CVE-2005-2875 is a high-severity vulnerability affecting py2play py2play. It was published on September 13, 2005 and has a CVSS 2.0 base score of 7.5 (HIGH).

This vulnerability has a CVSS 2.0 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

Py2Play allows remote attackers to execute arbitrary Python code via pickled objects, which Py2Play unpickles and executes.

Remediation

Check the references section for vendor advisories and patches from py2play. Update py2play 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-2005-2875?

CVE-2005-2875 is a high-severity vulnerability affecting py2play py2play. It was published on September 13, 2005 and has a CVSS 2.0 base score of 7.5 (HIGH).

How severe is CVE-2005-2875?

This vulnerability has a CVSS 2.0 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-2005-2875?

Check the references section for vendor advisories and patches from py2play. Update py2play 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-2005-2875?

CyberStrike's AI-powered security agents can automatically detect CVE-2005-2875 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.