Summary
API
Submitted URL: https://gbc-onenote-afd.officeapplf.live.com.akadns.net
AI Security Verdict
Safe Website
Confidence: 96%
Microsoft 365 marketing page reached via redirect to Microsoft's own m365.cloud.microsoft domain. No forms, no threat-intel, hunting rule or IDS hits. Legitimate.
Safety Factors (4)
Details
Page Title
Microsoft 365 - Sign into Copilot
Scan Type
public
Domain Name Analysis
Domain 'gbc-onenote-afd.officeapplf.live.com.akadns.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'gbc-onenote-afd.officeapplf.live.com'. The core label 'akadns' covers 6 characters containing 2 vowels alongside 4 consonants. Segmentation suggests two words: aka, dns. The median word length lands at three characters. No strong language cues emerged from the frequency lists.
Screenshot

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 |
|---|---|---|---|
| 24 | 23.103.244.89Azure · CLOUD | Berlin, State of Berlin, Germany | AS8075Microsoft Corporation |
| 2 | 52.108.66.10Office365 · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 2 | 23.103.244.64Azure · CLOUD | Berlin, State of Berlin, Germany | AS8075Microsoft Corporation |
| 2 | 95.100.146.106Akamai · CDN | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 2 | 23.56.203.142Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 2 | 150.171.109.106Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 2 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 2 | 150.171.109.104Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 2 | 20.80.37.232Azure · CLOUD | Chicago, Illinois, United States | AS8075Microsoft Corporation |
| 2 | 20.190.159.68Azure · CLOUD | Dublin, Leinster, Ireland | AS8075Microsoft Corporation |
| 70 | 24 | - | - |
Detected Technologies4
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
Scan history not available
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