Security Scan Report: angelsneha2000.github.io

Redirected to:
https://angelsneha2000.github.io/Microsoft-Clone/
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 2 domains to perform 22 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: http://angelsneha2000.github.io/Microsoft-Clone

Effective URL:
https://angelsneha2000.github.io/Microsoft-Clone/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Unauthorized clone of Microsoft's homepage using Microsoft branding and an 'Official' title on a personal GitHub Pages subdomain. No forms or active malware, but clear brand impersonation — do not enter credentials or trust it as Microsoft.

Risk Factors (4)
brand impersonation of a different entity (Microsoft) on an unrelated, unranked domain
clone of Microsoft's official homepage including its brand, product copy and account-navigation elements
'Microsoft Official' title making an explicit claim to be the official site
hosting on a shared platform subdomain with unknown page-level age, so no age/reputation mitigation applies
Domain age information unavailable

Details

Page Title

Microsoft Official

Scan Type

public

Domain Name Analysis

Within the British Indian Ocean Territory country-code top-level domain (.io), 'angelsneha2000.github.io' is registered with subdomain 'angelsneha2000'. The core label 'github' covers 6 characters split between two vowels and four consonants. Segmentation suggests three words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

2.46s
Total Load Time
679 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,160 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
3185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
226--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E302CD1230F9102B4792635A7D65AB3EAE978557C31D6E01316D0E4F6FE2E4ACC4329F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nBrmdq+KAlXR2LI3wxob8UgUj7kPwkfs8KM9QjNZB8xoxzwmXoj:Br426XR2zWAU/xkfsEQjNLhzRYj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8325:GAaBBoEwhCyqAGlBJMKQhAgjJ9BAAEkKAkKzxaEJjlRDKGDtQFiAwyz5knDAAifAhCWAVA0hEDEkAEkCRQh5XCHGkEAEIQ2Z

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:e7c3c3e78383ffd3
Perceptual Hash:bc93e59a6cc32c1c
Difference Hash:2a0e0f0b37364727
Wavelet Hash:c3c3c3c38383f3d1
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data