CVE-2016-6546
7.8 · HIGHOverview
CVE-2016-6546 is a high-severity vulnerability affecting kkmcn itrackeasy. It was published on July 13, 2018 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
The iTrack Easy mobile application stores the account password used to authenticate to the cloud API in base64-encoding in the cache.db file. The base64 encoding format is considered equivalent to cleartext.
Remediation
Check the references section for vendor advisories and patches from kkmcn. Update itrackeasy 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 |
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References
Frequently Asked Questions
What is CVE-2016-6546?
CVE-2016-6546 is a high-severity vulnerability affecting kkmcn itrackeasy. It was published on July 13, 2018 and has a CVSS 3.0 base score of 7.8 (HIGH).
How severe is CVE-2016-6546?
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-2016-6546?
Check the references section for vendor advisories and patches from kkmcn. Update itrackeasy 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-2016-6546?
CyberStrike's AI-powered security agents can automatically detect CVE-2016-6546 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.
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