Summary
API
Submitted URL: https://aminsheikh72.github.io/microsoft-2/
AI Security Verdict
High Risk
Confidence: 85%
A Microsoft-branded sign-in page hosted on a personal GitHub Pages subdomain, not a Microsoft domain. Classic brand-impersonation layout; treat as untrusted and do not enter account details.
Risk Factors (4)
Details
Page Title
Microsoft login page
Scan Type
public
Domain Name Analysis
The domain name 'aminsheikh72.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'aminsheikh72'. Its registrable label 'github' stretches across 6 characters with two vowels and 4 consonants. Word splitting yields three words: g, it, hub. The median word length lands at 2 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 |
|---|---|---|---|
| 3 | 185.199.108.153Fastly · CDN | United States | AS54113Fastly, Inc. |
| 1 | 185.199.109.153Fastly · CDN | United States | AS54113Fastly, Inc. |
| 1 | 185.199.110.153Fastly · CDN | United States | AS54113Fastly, Inc. |
| 5 | 3 | - | - |
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
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