Security Scan Report: pusatjakarta-com-998zivpi4s.edgeone.app

Submitted: Feb 27, 2026, 9:44:44 PMCompleted: Feb 27, 2026, 9:46:05 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 pusatjakarta-com-998zivpi4s.edgeone.app and was registered NaN years ago.

Submitted URL: https://pusatjakarta-com-998zivpi4s.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

Impersonates Tokopedia on a new edgeone.app subdomain; likely phishing – do not provide credentials.

Risk Factors
Brand impersonation on an unusual, low‑reputation domain
New/unknown subdomain age (potentially created recently)
Low Cisco Umbrella ranking indicating poor reputation
Suspicious page title suggesting account verification
Domain age information unavailable

Details

Page Title

Halaman Verifikasi Akun

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(94%)

Domain Information

The domain 'pusatjakarta-com-998zivpi4s.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'pusatjakarta-com-998zivpi4s'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Word splitting yields two 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://pusatjakarta-com-998zivpi4s.edgeone.app/

Page Load Overview

0.67s
Total Load Time
2
HTTP Requests
1
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
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:769 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network94% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
94%
e-commerce shopping
91%
entertainment media
90%
adult content
75%
documentation technical
61%

Detected Features

No structural features detected

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

T1FB02646716F700012B96A4B53BE2B7433525D113C989D9AC3F8DA3A8CFC6AD585D738C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:n3rDyqltJy6u5UEQFx2RvarwFkKFCiR+A+F76RKo3o6JtSE/a4iFiBoUuiciBU/k:YoFWF7FCFhEi4iFiBoUuiciBU/i/ie

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8733:AWIQxASBnCkcDFfLEFUFiVDiJEbgAKAHsA5WsJpc7YVmAApFIiSAwFsVOAAkMAiIyiRyQIJHBQLCKZgJADlDKQCmhikKCFIh

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:00e7e7ffffffffff
Perceptual Hash:b333735d4c4c4c66
Difference Hash:0c0c4d0004000000
Wavelet Hash:00c7273f00000000
Color Hash:#6f3a78

Other Hashes

Crop Resistant:0c0c4d0004000000

Scan History

Scan history not available

Unable to load historical scan data