Summary
This website contacted 7 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is office.com and was registered NaN years ago.
Submitted URL: https://eus2-dc.pods.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 service page with no malicious indicators.
Safety Factors
Details
Page Title
Microsoft 365 | Write, Create & Collaborate with AI
Scan Type
public
Language
English
Category
entertainment media
(95%)Domain Information
Domain 'eus2-dc.pods.officeapps.live.com' uses the commercial generic top-level domain (.com), featuring subdomain 'eus2-dc.pods.officeapps'. Its registrable label 'live' stretches across 4 characters with 2 vowels and 2 consonants. It segments into 1 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 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 8 | 150.171.109.193Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 8 | 52.109.6.22Office365 · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 8 | 23.103.244.72 | Berlin, State of Berlin, Germany | AS8075Microsoft Corporation |
| 8 | 2.19.126.140 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 13.107.246.43Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 8 | 104.102.45.22 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 62 | 7 | - | - |
Page Statistics
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
Unable to load historical scan data