Summary
API
Submitted URL: https://ecmqaappian.kone.com
The Cisco Umbrella rank of the primary domain is #177,107 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Microsoft OAuth SSO login flow from KONE's app to login.microsoftonline.com; no phishing, malware, or exfiltration evidence found.
Safety Factors (5)
Details
Page Title
M-Files
Scan Type
public
Domain Name Analysis
Domain 'ecmqaappian.kone.com' uses the commercial generic top-level domain (.com) and includes subdomain 'ecmqaappian'. Its registrable label 'kone' stretches across 4 characters with two vowels and 2 consonants. Breaking it apart gives 2 words: k, one. Median word length is 2 characters. No strong language cues emerged from the frequency lists.
Screenshot

Other pages on this site
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 23.97.233.33Azure · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 4 | 20.190.159.128Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 4 | 20.190.160.67Azure · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 4 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 95.101.23.19Akamai · CDN | Vienna, Vienna, Austria | AS20940Akamai International B.V. |
| 4 | 40.126.31.67Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 4 | 52.178.17.232Azure · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 4 | 40.126.31.69Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 4 | 23.207.210.136Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 20.190.159.23Office365 · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 58 | 14 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
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