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CVE-2023-34150

6.5 · MEDIUM
Published Jul 5, 2023 apache CWE-20 EPSS 1.48% (72th pctl)

Overview

CVE-2023-34150 is a medium-severity vulnerability affecting apache any23. It was published on July 5, 2023 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

** UNSUPPORTED WHEN ASSIGNED ** Use of TikaEncodingDetector in Apache Any23 can cause excessive memory usage.

Remediation

Check the references section for vendor advisories and patches from apache. Update any23 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
apache any23 0 Affected

Frequently Asked Questions

What is CVE-2023-34150?

CVE-2023-34150 is a medium-severity vulnerability affecting apache any23. It was published on July 5, 2023 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2023-34150?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2023-34150?

Check the references section for vendor advisories and patches from apache. Update any23 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-2023-34150?

CyberStrike's AI-powered security agents can automatically detect CVE-2023-34150 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.