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Security Scan Report: hot-hub-netflix-content-lkira4qghv.edgeone.app

Submitted: Feb 21, 2026, 11:46:45 AMCompleted: Feb 21, 2026, 11:48:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is hot-hub-netflix-content-lkira4qghv.edgeone.app and was registered NaN years ago.

Submitted URL: https://hot-hub-netflix-content-lkira4qghv.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site impersonates Netflix on a newly created subdomain; likely phishing – do not provide any credentials or personal data.

Risk Factors
Brand impersonation (Netflix) on a non‑official, low‑ranked domain
New/unknown subdomain age (potentially created within days)
Subdomain on free hosting platform (.edgeone.app) used for brand‑related content
Medium IDS alert indicating abnormal HTTP response
Domain age information unavailable

Details

Page Title

hot-hub-netflix-content-lkira4qghv.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(53%)

Domain Information

The domain 'hot-hub-netflix-content-lkira4qghv.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'hot-hub-netflix-content-lkira4qghv'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hot-hub-netflix-content-lkira4qghv.edgeone.app/

Page Load Overview

6.92s
Total Load Time
107
HTTP Requests
6
Domains
16.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,252 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media53% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
53%
download file sharing
37%
technology software
35%
education learning
27%
documentation technical
26%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10743.152.26.58Singapore
AS139341ACE
1071--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszs2bMy8Old6:0hoC9JSqzzbs6o3Sj3gcrsY2eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184621:AkDR2QAYpqAZuFAMkAkB4iQYRQZAtIlaImA2YAAJY2IwChoAhaIhyM6UwF4BwY6gDq0QKPLT8BWgA70BIALRYUgRGACXBsTA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#57931f

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data