Summary
This website contacted 7 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is m365.cloud.microsoft and was registered NaN years ago.
Submitted URL: https://word-edit.gov.online.office365.us
Effective URL: https://m365.cloud.microsoft/Redirected
The Cisco Umbrella rank of the primary domain is #4,539 of the top 1 million websitesTop 10K Site
AI Security Verdict
Low Risk
Confidence: 78%
The site mimics Microsoft branding but lacks any credential or payment collection and shows no malicious activity; overall low risk.
Risk Factors
Safety Factors
Details
Page Title
Microsoft 365 Copilot - Sign in
Scan Type
public
Language
English
Category
technology software
(88%)Domain Information
The domain 'word-edit.gov.online.office365.us' uses the United States country-code top-level domain (.us), featuring subdomain 'word-edit.gov.online'. Its registrable label 'office365' stretches across 9 characters split between 3 vowels and three consonants; bonus characters include 3 digits. Tokenizing the label suggests two words: office, 365. Median word length is 4.5 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 | 23.56.203.142 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 9 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 9 | 52.127.37.55 | San Antonio, Texas, United States | AS8070Microsoft Corporation |
| 9 | 13.107.6.156Azure · CLOUD | United States | AS8068Microsoft Corporation |
| 9 | 104.85.1.163 | Amsterdam, North Holland, Netherlands | AS16625Akamai Technologies, Inc. |
| 9 | 2.20.245.186 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 150.171.109.53Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 64 | 7 | - | - |
Page Statistics
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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