Summary
This website contacted 8 IPs in 3 countries across 19 domains to perform 2 HTTP transactions. The main domain is m365.cloud.microsoft and was registered NaN years ago.
Submitted URL: https://imagetodoc.officeapps.live.com
Effective URL: https://m365.cloud.microsoft/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: 92%
The page is a legitimate Microsoft site with no malicious indicators.
Safety Factors
Details
Page Title
Microsoft 365 Copilot - Sign in
Scan Type
public
Language
English
Category
technology software
(88%)Domain Information
The domain 'imagetodoc.officeapps.live.com' uses the commercial generic top-level domain (.com) and includes subdomain 'imagetodoc.officeapps'. The registrable portion 'live' spans 4 characters with two vowels and two consonants. Word splitting yields one word: live. Median word length comes out to four 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 | 23.52.181.212 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 8 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 8 | 52.111.243.24Azure · CLOUD | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 8 | 23.56.203.142 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 8 | 2.20.245.172 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 150.171.109.53Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 8 | 13.107.6.156Azure · CLOUD | United States | AS8068Microsoft Corporation |
| 8 | 23.103.241.44 | Frankfurt am Main, Hesse, Germany | AS8075Microsoft Corporation |
| 66 | 8 | - | - |
Page Statistics
Detected Technologies2
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