Summary
API
This website contacted 15 IPs in 2 countries across 15 domains to perform 45 HTTP transactions. The main domain is adityab9990.github.io and was registered 13 years ago.
Submitted URL: https://adityab9990.github.io/MicroSoft_store/App.html
AI Security Verdict
Moderate Risk
Confidence: 72%
The site mimics Microsoft Store but lacks credential collection; treat as moderate risk due to brand impersonation on an unknown, unranked subdomain.
Risk Factors
Safety Factors
Details
Page Title
Microsoft Store
Scan Type
public
Domain Name Analysis
The domain 'adityab9990.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'adityab9990'. The registrable portion 'github' spans 6 characters with two vowels and four consonants. It segments into 3 words: g, it, hub. Average segment length settles at two 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 | 142.251.110.119Google · CDN | United States | AS15169Google LLC |
| 3 | 13.33.187.2Cloudfront · CDN | New York, New York, United States | AS16509Amazon.com, Inc. |
| 3 | 185.199.108.153 | United States | AS54113Fastly, Inc. |
| 3 | 23.52.180.8 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 142.251.20.101Google · CDN | United States | AS15169Google LLC |
| 3 | 23.52.181.181 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 185.111.111.158 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 3 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 150.171.109.34Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 3 | 18.66.112.91Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 45 | 15 | - | - |
Detected Technologies6
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