Security Scan Report: www.netflixy-bixy.vercel.app

Redirected to:
https://netflixy-bixy.vercel.app/
Submitted: Sep 25, 2026, 4:50:27 PMCompleted: Sep 25, 2026, 4:51:51 PMpubliccompleted

This website contacted 18 IPs in 2 countries across 9 domains to perform 34 HTTP transactions. The main domain is netflixy-bixy.vercel.app and was registered 18 years ago.

Submitted URL: https://www.netflixy-bixy.vercel.app/

Effective URL:

https://netflixy-bixy.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Brand impersonation of Netflix on a disposable vercel.app subdomain with a phishing threat-intel hit and a decoy 'Security Check' robot gate. No credential form in this capture, but treat as phishing.

Risk Factors
Impersonation of the Netflix brand on a domain that is not operated by Netflix
Phishing threat-intelligence match on the primary domain
Fake anti-bot 'Security Check' gate used to condition or filter visitors
Telegram API and IP-lookup service dependencies typical of phishing/scam kits
Disposable hosting-platform subdomain with unknown age
Domain age information unavailable

Details

Page Title

Netflix

Scan Type

public

Domain Name Analysis

The domain 'www.netflixy-bixy.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.netflixy-bixy'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.netflixy-bixy.vercel.app/

Page Load Overview

1.08s
Total Load Time
1015 KB
Total Size

Language Analysis

Primary Language

馃嚭馃嚫English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:281 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
98%
adult content
52%
documentation technical
47%
government public service
41%
e-commerce shopping
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1764.29.17.195Aws 路 CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare 路 WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google 路 CDNUnited States
AS15169Google LLC
1104.26.8.44Cloudflare 路 WAFUnited States
AS13335Cloudflare, Inc.
1104.26.12.205Cloudflare 路 WAFUnited States
AS13335Cloudflare, Inc.
135.173.174.167Aws 路 CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1142.251.151.119Google 路 CDNUnited States
AS15169Google LLC
1142.251.14.94Google 路 CDNUnited States
AS15169Google LLC
1142.250.154.94Google 路 CDNUnited States
AS15169Google LLC
3418--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17212E9ABA510006E7E5384DBFDD0B619710BA1C7DA2ECAF9B5CE9400F7DB5E248D7208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QTXhGGY+DJc47JXeS7JXex/27xKRGpUtE:QD6mhL74R3tE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9810:AJLCIQBDELUWBqAAeMO5OImRPIKBkKxgQbEgy8SgFKUhE4AwwCg5GQkABB0QEYFAIqQAHwopQAAEhUMEgjYqAQBAQaGWbXBS

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:ffffe7e7efe7efff
Perceptual Hash:b3ce8c39cc2633cc
Difference Hash:00100c0c104c1000
Wavelet Hash:c0c0c0c0c4c4ecfc
Color Hash:#53ac93

Other Hashes

Crop Resistant:00100c0c104c1000

Scan History

Scan history not available

Unable to load historical scan data