Security Scan Report: aktivisi-pemulihan-penalti-gcbi473u0j.edgeone.app

Submitted: Mar 31, 2026, 4:59:35 PMCompleted: Mar 31, 2026, 5:01:01 PMpubliccompleted
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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 aktivisi-pemulihan-penalti-gcbi473u0j.edgeone.app and was registered NaN years ago.

Submitted URL: https://aktivisi-pemulihan-penalti-gcbi473u0j.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: 88%

8
Risk Score

Fake Shopee login page on a newly created edgeone.app subdomain โ€“ likely credential phishing.

Risk Factors
Brand impersonation (Shopee) on unrelated domain
New/unknown subdomain on free hosting platform
Low domain reputation and ranking
Login UI presented without legitimate form elements
Potential credential harvesting via socialโ€‘login buttons
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

The domain name 'aktivisi-pemulihan-penalti-gcbi473u0j.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'aktivisi-pemulihan-penalti-gcbi473u0j'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aktivisi-pemulihan-penalti-gcbi473u0j.edgeone.app/

Page Load Overview

1.50s
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
2185.151.204.50United States
AS61273Adjust GmbH
2184.25.51.120Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.217.16.168United States
AS15169Google LLC
2142.250.154.132United States
AS15169Google LLC
223.50.131.16Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
243.152.26.58Singapore
126--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10642E7A758E00029A267C12169E7B9197027C407D91DA815BECC131E1FEAF9786F7BEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2MO8mSRF8/WLfaMZ/UyyPuDkSkGJkzuw0+P8Xkp3vRpciANiqk:PO8mSRF8/WLfaMZ/UyGuDkSAnPtvRpco

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12132:MHAICIgAghkKUH4ATKAgM9zIj8EAxCiQhU0x0AEYMgiQnpZAfJbMGAVNQUQIeipIJDixYDEIIvGAM5MAAQYxNaD0gIhIQsKg

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:0067000003ffffff
Color Hash:#783a5f

Scan History

Scan history not available

Unable to load historical scan data