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CVE-2022-0031

6.7 · MEDIUM
Published Nov 9, 2022 paloaltonetworks CWE-345 EPSS 0.12% (2th pctl)

Overview

CVE-2022-0031 is a medium-severity vulnerability affecting paloaltonetworks cortex_xsoar. It was published on November 9, 2022 and has a CVSS 3.1 base score of 6.7 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.7, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

A local privilege escalation (PE) vulnerability in the Palo Alto Networks Cortex XSOAR engine software running on a Linux operating system allows a local attacker with shell access to the engine to execute programs with elevated privileges.

Remediation

Check the references section for vendor advisories and patches from paloaltonetworks. Update cortex_xsoar 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-2022-0031?

CVE-2022-0031 is a medium-severity vulnerability affecting paloaltonetworks cortex_xsoar. It was published on November 9, 2022 and has a CVSS 3.1 base score of 6.7 (MEDIUM).

How severe is CVE-2022-0031?

This vulnerability has a CVSS 3.1 base score of 6.7, rated MEDIUM. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2022-0031?

Check the references section for vendor advisories and patches from paloaltonetworks. Update cortex_xsoar 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-2022-0031?

CyberStrike's AI-powered security agents can automatically detect CVE-2022-0031 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.