Security Scan Report: aktifkan-kembali-akun-h28wvusczi.edgeone.app

Submitted: Mar 29, 2026, 5:10:24 AMCompleted: Mar 29, 2026, 5:11:50 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 9 HTTP transactions. The main domain is aktifkan-kembali-akun-h28wvusczi.edgeone.app and was registered NaN years ago.

Submitted URL: https://aktifkan-kembali-akun-h28wvusczi.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: 85%

8
Risk Score

Impersonates Shopee on a newly created edgeone.app subdomain; likely phishing.

Risk Factors
Brand impersonation (Shopee) on unrelated domain
New/unknown subdomain on a hosting platform
Low Cisco Umbrella ranking for a site claiming a major brand
Domain age information unavailable

Details

Page Title

๐—”๐—ธ๐˜๐—ถ๐˜ƒ๐—ฎ๐˜€๐—ถ ๐—ฃ๐—ฒ๐—บ๐˜‚๐—น๐—ถ๐—ต๐—ฎ๐—ป ๐—ฎ๐—ธ๐˜‚๐—ป ๐—ฆ๐—ต๐—ผ๐—ฝ๐—ฒ๐—ฒ

Scan Type

public

Language

๐Ÿ‡ฎ๐Ÿ‡ฉ

ID

(80% confidence)

Category

social media network

(98%)

Domain Information

You're looking at domain 'aktifkan-kembali-akun-h28wvusczi.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'aktifkan-kembali-akun-h28wvusczi'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. It segments into 2 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://aktifkan-kembali-akun-h28wvusczi.edgeone.app/

Page Load Overview

1.40s
Total Load Time
12
HTTP Requests
8
Domains
538 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡ฎ๐Ÿ‡ฉIndonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:164 chars
Detector Agreement:33%

Website Classification

Primary Category

social media network98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
98%
healthcare medical
39%
technology software
39%
finance banking
36%
news media journalism
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.151.204.51Germany
243.152.26.58Singapore
223.48.23.30Singapore
2172.217.20.129United States
AS15169Google LLC
2142.251.20.97United States
AS15169Google LLC
22.16.241.13UnknownUnknown
126--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C842F7A758E00039A267C12169E7B9197027C407D91DA815BECC131E1FEAF9786F7BEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2MO8mSRF8/WLfaMZ/UyyPuDkSkGJkzuw0+P8Xkp3vRpciANiik:PO8mSRF8/WLfaMZ/UyGuDkSAnPtvRpco

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12142:MHAICIgAohkK0HwATKQgM5zIj8EAxDiQhU0x0AEYMgiQnpZAeJDMGAVdQUQIaipIJTixaHEIIvGAO5MAAQYxNaDwgIhIQsKg

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:00ff00ffffffffff
Perceptual Hash:a2765d55205c5d5d
Difference Hash:0808518889000000
Wavelet Hash:0067000007ffffff
Color Hash:#79d2bc

Scan History

Scan history not available

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