Security Scan Report: expensive-rose-vif7rj2auv-i0n895bp7e.edgeone.app

Submitted: Mar 17, 2026, 4:38:57 PMCompleted: Mar 17, 2026, 4:40:18 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is expensive-rose-vif7rj2auv-i0n895bp7e.edgeone.app and was registered NaN years ago.

Submitted URL: https://expensive-rose-vif7rj2auv-i0n895bp7e.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

The site impersonates Bank Banten's Jawara Mobile service on a fresh, low‑reputation subdomain; likely a phishing page.

Risk Factors
Brand impersonation (Jawara Mobile – Bank Banten) on an untrusted domain
New subdomain on free hosting platform (edgeone.app)
Low Cisco Umbrella ranking (455,732) suggesting suspicious reputation
Domain age information unavailable

Details

Page Title

Jawara Mobile - Bank Banten

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(45%)

Domain Information

The domain 'expensive-rose-vif7rj2auv-i0n895bp7e.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'expensive-rose-vif7rj2auv-i0n895bp7e'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://expensive-rose-vif7rj2auv-i0n895bp7e.edgeone.app/

Page Load Overview

1.14s
Total Load Time
5
HTTP Requests
3
Domains
88 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:422 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking45% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1142.251.141.118Singapore
143.152.26.58Singapore
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C412992331F12011969390A4AAF69B5F3524D103D50A99B83E9C15D5CFCAF918AF3BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:xfBIBmfXMy8mvwpUHv1rOcwmalhsrHCJM1JHeN3PHYkQYdoeyGYCdZ:DIp2QsJHCHfQOfGQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9273:QUKABUTAhQGsdQTBDkR2oECAkXGETD3BgoywFpBuAAAzp2EzADtfEAyGQoAAAAUAGigYlMAuIYKBIAOIgCOhmKMOhazoYBA1

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:e7e7efe7e7e7ffff
Perceptual Hash:b39998669b3326c9
Difference Hash:1c0c0808084d1032
Wavelet Hash:c0c0c0c0c0c0d8d8
Color Hash:#b4c587

Other Hashes

Crop Resistant:1c0c0808084d1032

Scan History

Scan history not available

Unable to load historical scan data