Summary
This website contacted 9 IPs in 4 countries across 11 domains to perform 1 HTTP transaction. The main domain is office.com and was registered NaN years ago.
Submitted URL: https://pfr1-onenote.officeapps.live.com
Effective URL: https://www.office.com/Redirected
The Cisco Umbrella rank of the primary domain is #7 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate Microsoft page; no security concerns detected.
Safety Factors
Details
Page Title
Login | Microsoft 365 Copilot
Scan Type
public
Language
English
Category
technology software
(90%)Domain Information
The domain 'pfr1-onenote.officeapps.live.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'pfr1-onenote.officeapps'. The core label 'live' covers 4 characters split between 2 vowels and two consonants. Word splitting yields one word: live. 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 |
|---|---|---|---|
| 14 | 13.107.213.44 | United States | AS8075Microsoft Corporation |
| 6 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 6 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 6 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 6 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 6 | 2.16.168.122 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 51.104.15.252 | London, England, United Kingdom | AS8075Microsoft Corporation |
| 6 | 52.108.8.12 | United States | AS8075Microsoft Corporation |
| 6 | 13.107.6.156 | United States | AS8068Microsoft Corporation |
| 62 | 9 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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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