Security Scan Report: adityab9990.github.io

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Submitted: Jul 13, 2026, 12:45:19 AMCompleted: Jul 13, 2026, 12:47:51 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Microsoft Store but lacks credential collection; treat as moderate risk due to brand impersonation on an unknown, unranked subdomain.

Risk Factors
Brand impersonation of Microsoft on a non‑official domain
Unknown subdomain age (could be newly created)
Unranked / low‑reputation domain
Safety Factors
No credential or payment collection forms
No malicious JavaScript or YARA matches
No network IDS alerts or external malicious links
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

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

Security scan screenshot of https://adityab9990.github.io/MicroSoft_store/App.html

Page Load Overview

14.54s
Total Load Time
5.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,478 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network50% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
50%
forum community discussion
28%
entertainment media
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.110.119Google · CDNUnited States
AS15169Google LLC
313.33.187.2Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
3185.199.108.153United States
AS54113Fastly, Inc.
323.52.180.8Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3142.251.20.101Google · CDNUnited States
AS15169Google LLC
323.52.181.181Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
3185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3150.171.109.34Azure · CLOUDUnited States
AS8075Microsoft Corporation
318.66.112.91Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4515--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120F21D7051F515BB428381E6AA21AF4ABED5DB07CA9F9605B2FC4BC55F92C83CC2324C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qxPXCmoDl+43KS+Ue/eK/+qPYN5wYmBmDQXqp5Q3EREdxxK:mXCmoDl+4W/eK/3PYN5wYmBmDQXqp5sO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35868:DGJACYQBGIIgyaAmQQVBEhT1AkgGQIYugywYoI0ECgAghUKiHtEkCkkEAAm00hAUUCgCnQGJYHrUgJDKSwEGSJhjTZIqAyQw

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

Average Hash:0004060c087c247e
Perceptual Hash:923c96699b69d06e
Difference Hash:b90c2c08d990e9e8
Wavelet Hash:0006070f497f7d7f
Color Hash:#742d86

Scan History

Scan history not available

Unable to load historical scan data