Security Scan Report: apekaprembybarrstoree-9t7tg1cfw2.edgeone.app

Submitted: Mar 22, 2026, 9:55:25 PMCompleted: Mar 22, 2026, 9:56:46 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is apekaprembybarrstoree-9t7tg1cfw2.edgeone.app and was registered NaN years ago.

Submitted URL: https://apekaprembybarrstoree-9t7tg1cfw2.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: 80%

8
Risk Score

Page impersonates Netflix/Canva subscription on a brand‑new subdomain; likely phishing – avoid.

Risk Factors
Brand impersonation on a brand‑new subdomain
Low domain reputation (low Cisco ranking)
Subdomain on a free hosting platform (edgeone.app)
Domain age unknown/very new
Domain age information unavailable

Details

Page Title

BarrStoree - App Prem

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

entertainment media

(87%)

Domain Information

Within the application-focused generic top-level domain (.app), 'apekaprembybarrstoree-9t7tg1cfw2.edgeone.app' is registered with subdomain 'apekaprembybarrstoree-9t7tg1cfw2'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apekaprembybarrstoree-9t7tg1cfw2.edgeone.app/

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
1
Domains
10 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
HTML Lang Attribute:id
Text Length:1,219 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

entertainment media87% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
87%
technology software
79%
social media network
65%
adult content
33%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132F284D7E5F36272142710AA37E74B8A3AA4B103E546CE25BFDE53800FC5EE4991364C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4Kxk68oDJ0nsHyAtwgNFGB1HXPfmGZfkgsFS5oSAwT1cEfIfc9OUP:4s2AJ0nsHFSkFGPHmG1kElfrL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35906:kJgGDIwmCFwKAAAkAABt2A6QyEThQOILSfGSFoAAWsBVSy+RCGiSq8jrCTCHFqqzSGwjsnMOMAAlDACYTRC4HAAAKIgAFpgZ

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:ffffff8183c18381
Perceptual Hash:bdc183c93acd86c5
Difference Hash:d20a242b2b2b2b2b
Wavelet Hash:7eeeaa8083f98781
Color Hash:#8abf40

Other Hashes

Crop Resistant:d20a242b2b2b2b2b

Scan History

Scan history not available

Unable to load historical scan data