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CVE-2017-17069

7.8 · HIGH
Published Dec 6, 2017 amazon CWE-426 EPSS 1.65% (75th pctl)

Overview

CVE-2017-17069 is a high-severity vulnerability affecting amazon audible. It was published on December 6, 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. No authentication or special privileges are required for exploitation.

Technical Description

ActiveSetupN.exe in Amazon Audible for Windows before November 2017 allows attackers to execute arbitrary DLL code if ActiveSetupN.exe is launched from a directory where an attacker has already created a Trojan horse dwmapi.dll file.

Remediation

Check the references section for vendor advisories and patches from amazon. Update audible 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
amazon audible >= 0, < november2017 Affected

Frequently Asked Questions

What is CVE-2017-17069?

CVE-2017-17069 is a high-severity vulnerability affecting amazon audible. It was published on December 6, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-17069?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-17069?

Check the references section for vendor advisories and patches from amazon. Update audible 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-2017-17069?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-17069 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.