Security Scan Report: www.netflix-clone-delta-ruby.vercel.app

Redirected to:
https://netflix-clone-delta-ruby.vercel.app/
Submitted: Sep 16, 2026, 12:45:34 PMCompleted: Sep 16, 2026, 12:46:22 PMpubliccompleted

This website contacted 12 IPs in 2 countries across 6 domains to perform 17 HTTP transactions. The main domain is netflix-clone-delta-ruby.vercel.app and was registered 10 years ago.

Submitted URL: http://www.netflix-clone-delta-ruby.vercel.app/

Effective URL:

https://netflix-clone-delta-ruby.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Google Safe Browsing flags Social Engineering; unauthorised Netflix-branded clone on vercel.app. No credential/payment form parsed, but brand misuse and Safe Browsing hit make it unsafe.

Risk Factors (5)
Google Safe Browsing Social Engineering flag
Mimics Netflix landing page and branding on a non-Netflix domain
Free hosting platform subdomain with unknown creation date (vercel.app)
Unranked domain with no established reputation
Suricata IDS alerts for vercel.app as actor-abused cloud hosting
Domain age information unavailable

Details

Page Title

Netflix Clone

Scan Type

public

Domain Name Analysis

Domain 'www.netflix-clone-delta-ruby.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.netflix-clone-delta-ruby'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.netflix-clone-delta-ruby.vercel.app/

Page Load Overview

2.51s
Total Load Time
605 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,166 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media96% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
96%
technology software
78%
social media network
47%
government public service
30%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
149.44.142.130India
AS55836Reliance Jio Infocomm Limited
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
145.57.91.1United States
AS40027Netflix Streaming Services Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
145.57.90.1United States
AS40027Netflix Streaming Services Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
149.44.142.134India
AS55836Reliance Jio Infocomm Limited
1712--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151D1FB1915F2412A0A5382836675762A2FBAFADBF6CE0208707D1EC4BFC5C06DA274D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oIM66cKh6Myj9mvhNNNNbNNNNNTNNNNNTNNNNNW:oIDQe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6431:CIANoiAOQAgyjBIMQCSEBCuAAEAADBEQIGqpAggAEAGiA4IEKVESBNZgGQICExSgAATAmyUD0AAAASBgHIQQpBClAIDICQlS

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:00003c3d01010766
Perceptual Hash:924bb46994cbc697
Difference Hash:4501697119410dcc
Wavelet Hash:07013d3d19010f7f
Color Hash:#867d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data