Security Scan Report: famous-khapse-ed9951.netlify.app

Redirected to:
https://famous-khapse-ed9951.netlify.app/
Submitted: Aug 3, 2026, 12:45:35 PMCompleted: Aug 3, 2026, 12:48:43 PMpubliccompleted

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is famous-khapse-ed9951.netlify.app and was registered 8 years ago.

Submitted URL: http://famous-khapse-ed9951.netlify.app/

Effective URL:

https://famous-khapse-ed9951.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing page impersonating Netflix; avoid and report as scam.

Risk Factors (4)
Brand impersonation of Netflix on a non‑official domain
Credential harvesting form
Unranked domain in Cisco Umbrella
Unknown subdomain creation date
Domain age information unavailable

Details

Page Title

Netflixsecondary capture

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'famous-khapse-ed9951.netlify.app' is registered and includes subdomain 'famous-khapse-ed9951'. Count 7 characters in 'netlify' with two vowels and 5 consonants. Word splitting yields three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://famous-khapse-ed9951.netlify.app/

Page Load Overview

2.27s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:224 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
99%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
245.57.91.1United States
AS40027Netflix Streaming Services Inc.
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F02504A29F705016947E0A82BEB4B543A25C403D907CD1C7EAD6798CF8DAC9DEA778C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:5IRG+FDbObRH9GV5z8WoyJ8PslucOBvZS3ZibBRSwlzIpuj:Y3L+s7yqibBD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8665:y04ggNCHCgRLRmMQiRjDSoABIZoGQQwTPaMBAA4ABfT0EEG4CAcCI7QsJqgIA7GxICRVAacIMJWZYBAhr10YlNiCIAIRgIEA

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:8000101818180000
Perceptual Hash:cc6623d9dd662631
Difference Hash:0000203232303000
Wavelet Hash:c0c0fcfcbc3c1c0c
Color Hash:#bf405b

Other Hashes

Crop Resistant:0000203232303000

Scan History

Scan history not available

Unable to load historical scan data