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Security Scan Report: aproveddataregister-vfckvpq5v9.edgeone.app

Submitted: Apr 15, 2026, 5:03:39 PMCompleted: Apr 15, 2026, 5:04:56 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is aproveddataregister-vfckvpq5v9.edgeone.app and was registered NaN years ago.

Submitted URL: https://aproveddataregister-vfckvpq5v9.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
Generic government‑service classification without supporting content
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious JavaScript or obfuscation
No external malicious links or IoC matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Data Progress

Scan Type

public

Language

🇮🇩

ID

(43% confidence)

Category

government public service

(25%)

Domain Information

You're looking at domain 'aproveddataregister-vfckvpq5v9.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'aproveddataregister-vfckvpq5v9'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Breaking it apart gives 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://aproveddataregister-vfckvpq5v9.edgeone.app/

Page Load Overview

0.37s
Total Load Time
3
HTTP Requests
2
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:43%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:43%
Script Type:Unknown
Text Length:243 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service25% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1142.251.14.101Singapore
AS139341
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B17185B635531425B507B8B827B78B473261C407954BDE6A7FCCA294CF82ED89CE178C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:e/bb+Kk2UbwASeQMeUTRcibluUPU/i1JULi2:Cb68U2ViBuUPU/iki2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3720:ASESAQCQhBCIAgACFAAgCAAAAAGCSBBAAAEkAQAQARCOgIBIASgAGAQEgAEASCCoEQAKQCQABkJCBAIBBCkDAIUABCgAAQAA

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:e7ffffffffffffff
Perceptual Hash:e666666666672323
Difference Hash:0800000000000000
Wavelet Hash:03030f0ff0f0f0f0
Color Hash:#3c862d

Other Hashes

Crop Resistant:0800000000000000

Scan History

Scan history not available

Unable to load historical scan data