Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2017-3892

3.8 · LOW
Published Nov 14, 2017 blackberry CWE-200

Overview

CVE-2017-3892 is a low-severity vulnerability affecting blackberry qnx_software_development_platform. It was published on November 14, 2017 and has a CVSS 3.1 base score of 3.8 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.8, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

In BlackBerry QNX Software Development Platform (SDP) 6.6.0, an information disclosure vulnerability in the default configuration of the QNX SDP could allow an attacker to gain information relating to memory layout that could be used in a blended attack by executing commands targeting procfs resources.

Remediation

Check the references section for vendor advisories and patches from blackberry. Update qnx_software_development_platform 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-2017-3892?

CVE-2017-3892 is a low-severity vulnerability affecting blackberry qnx_software_development_platform. It was published on November 14, 2017 and has a CVSS 3.1 base score of 3.8 (LOW).

How severe is CVE-2017-3892?

This vulnerability has a CVSS 3.1 base score of 3.8, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2017-3892?

Check the references section for vendor advisories and patches from blackberry. Update qnx_software_development_platform 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-2017-3892?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-3892 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.