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CVE-2015-1795

7.8 · HIGH
Published Jun 27, 2017 redhat CWE-264 EPSS 0.46% (38th pctl)

Overview

CVE-2015-1795 is a high-severity vulnerability affecting redhat gluster_storage. It was published on June 27, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

Red Hat Gluster Storage RPM Package 3.2 allows local users to gain privileges and execute arbitrary code as root.

Remediation

Check the references section for vendor advisories and patches from redhat. Update gluster_storage 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-2015-1795?

CVE-2015-1795 is a high-severity vulnerability affecting redhat gluster_storage. It was published on June 27, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2015-1795?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2015-1795?

Check the references section for vendor advisories and patches from redhat. Update gluster_storage 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-2015-1795?

CyberStrike's AI-powered security agents can automatically detect CVE-2015-1795 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.