Security Scan Report: spoitiy007.github.io

Redirected to:
https://spoitiy007.github.io/Spoitiy-Netflix/
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 2 domains to perform 14 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: http://spoitiy007.github.io/Spoitiy-Netflix

Effective URL:
https://spoitiy007.github.io/Spoitiy-Netflix/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Netflix-clone page on a free github.io subdomain reproducing Netflix branding, pricing and a sign-in/membership funnel. No verified credential form was captured, but the impersonation of Netflix is explicit — avoid entering any personal data.

Risk Factors (5)
Impersonation of the Netflix brand on a domain that is not Netflix's official domain
Hosted on a free instant-publishing platform (.github.io), where anyone can spin up a clone page
Simulated Netflix membership/sign-in funnel ('Get Started', 'Sign In', enter email) targeting viewer credentials
Branding mismatch: title 'Keshav Bagalkar' / header 'ENvy Sign In' vs reproduced Netflix branding
Unranked in Cisco Umbrella with no legitimate corporate identity
Domain age information unavailable

Details

Page Title

Keshav Bagalkar

Scan Type

public

Domain Name Analysis

The domain 'spoitiy007.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'spoitiy007'. Count 6 characters in 'github' with 2 vowels and 4 consonants. Tokenizing the label suggests three words: g, it, hub. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://spoitiy007.github.io/Spoitiy-Netflix

Page Load Overview

1.47s
Total Load Time
718 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,155 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media79% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
79%
technology software
43%
documentation technical
39%
corporate business
35%
social media network
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
146--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9B11D2550F22463109BC0D22E619F1B7EDA9207DA4E131175BD9BEC2FD3D8BCC9728A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nOTFV+IV5dvpOmD43WoBrqD15ct5cY5cH5cXs63I63GJW63c63AbSam2qJWGOtYS:nmFBdvp5joJqzMpu+p219QbIN8VtYsT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5291:ABrZGBPIAQCoFCjBGQVAIAgEACEMGAEHAAkABSCAAQBQgoAXQERiQJEAkARaigCAFSRJJiCCBAAWMxAikgIAAClggDFKgEAQ

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:0f0c011df9f91181
Perceptual Hash:8a1537d99daae960
Difference Hash:b67c3171b1317527
Wavelet Hash:0f0e091df9f9b191
Color Hash:#3a3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data