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CVE-2017-5642

9.8 · CRITICAL
Published Apr 3, 2017 apache CWE-276 EPSS 1.89% (78th pctl)

Overview

CVE-2017-5642 is a critical-severity vulnerability affecting apache ambari. It was published on April 3, 2017 and has a CVSS 3.0 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.0 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

During installation of Ambari 2.4.0 through 2.4.2, Ambari Server artifacts are not created with proper ACLs.

Remediation

Check the references section for vendor advisories and patches from apache. Update ambari 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-2017-5642?

CVE-2017-5642 is a critical-severity vulnerability affecting apache ambari. It was published on April 3, 2017 and has a CVSS 3.0 base score of 9.8 (CRITICAL).

How severe is CVE-2017-5642?

This vulnerability has a CVSS 3.0 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-5642?

Check the references section for vendor advisories and patches from apache. Update ambari 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-2017-5642?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-5642 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.