Security Scan Report: clonenetfix.netlify.app

Redirected to:
https://clonenetfix.netlify.app/
Submitted: Jul 29, 2026, 12:45:34 PMCompleted: Jul 29, 2026, 12:49:14 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 12 HTTP transactions. The main domain is clonenetfix.netlify.app and was registered 8 years ago.

Submitted URL: http://clonenetfix.netlify.app/

Effective URL:

https://clonenetfix.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The site mimics Netflix branding on an untrusted Netlify subdomain without collecting credentials; treat as moderate risk.

Risk Factors (2)
Brand impersonation of a well‑known service
Unranked hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Netflix Clone

Scan Type

public

Domain Name Analysis

Domain 'clonenetfix.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'clonenetfix'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Splitting it apart reveals three words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://clonenetfix.netlify.app/

Page Load Overview

0.57s
Total Load Time
498 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,804 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media73% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
73%
technology software
47%
social media network
37%
finance banking
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105E2529683B4D03FF406C6DCE68599503AAD51AFB581C684B2AC8F6F0FF09490D8E367

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:2CNdzQtLpUZJ1ICsSCw31sNagC78RUDCvWFlH2CHCouIjL:pNd8tFUz1rs1w3SNaD78RUGvWFlHBiML

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31802:QBwACDYRFFEAoEMx8VMhAIIMSDgW0SIQISoAIkEDpYUVMADDH9SCAgpiwt4QQiXhLhQSgEJgAFF4EBRsMmGCAEAVA0KnggEE

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:80301338393bfcc0
Perceptual Hash:ca37708f50cab53c
Difference Hash:356563e17367219c
Wavelet Hash:89f4133d393fd1c0
Color Hash:#2dd259

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data