Summary
This website contacted 12 IPs in 3 countries across 13 domains to perform 1 HTTP transaction. The main domain is office.com and was registered NaN years ago.
Submitted URL: https://usc-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: 96%
The page is a legitimate Microsoft subdomain that redirects to the official Office.com portal with no malicious indicators.
Safety Factors
Details
Page Title
Microsoft 365 | Write, Create & Collaborate with AI
Scan Type
public
Language
English
Category
technology software
(93%)Domain Information
The domain name 'usc-onenote.officeapps.live.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'usc-onenote.officeapps'. Its registrable label 'live' stretches across 4 characters containing 2 vowels alongside two consonants. Tokenizing the label suggests one word: live. Median word length comes out to 4 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 |
|---|---|---|---|
| 10 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 5 | 20.44.10.123 | Germany | |
| 5 | 150.171.22.17 | United States | AS8075Microsoft Corporation |
| 5 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 5 | 150.171.109.101 | Switzerland | Unknown |
| 5 | 52.108.9.12 | Unknown | Unknown |
| 5 | 23.48.23.30 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 20.190.159.23 | Unknown | Unknown |
| 5 | 23.197.128.15 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 5 | 40.126.32.72 | Unknown | Unknown |
| 65 | 12 | - | - |
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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