Security Scan Report: fatima-hanif-2108.github.io

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 2 domains to perform 15 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://fatima-hanif-2108.github.io/CSS-Amazon-Project/

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Static Amazon-themed CSS practice page on a GitHub Pages subdomain. No forms, no credential or payment collection, no malware or threat-intel hits. Brand use and the 'you are on amazon.com' claim are misleading but cannot harvest anything.

Risk Factors (3)
Uses another entity's brand (Amazon) on a domain that is not Amazon's official domain
Misleading on-page statement that the visitor is on amazon.com
Hosted on a free shared-publishing subdomain (.github.io) with unknown page creation date
Safety Factors (2)
All JavaScript served from the site's own domain; no third-party script hosts
Content appears to be a static CSS layout exercise with product tiles and no transactional capability
Domain age information unavailable

Details

Page Title

Amazon

Scan Type

public

Domain Name Analysis

You're looking at domain 'fatima-hanif-2108.github.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'fatima-hanif-2108'. The core label 'github' covers 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests 3 words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

II foday's Customer Service Registry Gift Cards Sell Shop deals in Electronics ‘You are on amazon.com, You can shop on Amazon Pakistan for millions of products with fast local delivery.Click here to...

Page Load Overview

0.68s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,078 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping86% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
86%
finance banking
64%
technology software
55%
corporate business
35%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
156--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABD1733094F2352301D69291AA71EB4B7F94DA17AA4BA20137FC9BD48FD3C83DD63409

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nR2JJQ/hD/d6ALXVK8v9IR2lzYjnNuJbO+gJIrX9i/VDSmLn0:R6JQJd/Ls3VJIrXOe7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6668:lBSWCIAgKBhhDcGCcLJ0KBlAFAGQJR4BaAIAoHABAAeZoUgFgAQEqhAZBAABAwDVIAGEmgGOBCAoCaFAQWgw+iKABeEAqUAS

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:00a07eff7f6fff0f
Perceptual Hash:c7477f6e188c119c
Difference Hash:634dccc6d5d7a75b
Wavelet Hash:00a03c7f614bff0f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data