ScanMalware.com

Security Scan Report: ujicobadaftarloginbayariuran-2go07szan2.edgeone.app

Submitted: Apr 9, 2026, 1:12:48 AMCompleted: Apr 9, 2026, 1:14:08 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is ujicobadaftarloginbayariuran-2go07szan2.edgeone.app and was registered NaN years ago.

Submitted URL: https://ujicobadaftarloginbayariuran-2go07szan2.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: 92%

2
Risk Score

The site shows no credential or payment forms, no malware indicators, and no brand impersonation; despite unknown subdomain age, it is assessed as low risk.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Absence of credential‑harvesting forms
No malicious or obfuscated JavaScript observed
No external links or cross‑origin network calls
Low ranking does not imply malicious intent without other evidence
Domain age information unavailable

Details

Page Title

Sistem Iuran

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ujicobadaftarloginbayariuran-2go07szan2.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ujicobadaftarloginbayariuran-2go07szan2'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals 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://ujicobadaftarloginbayariuran-2go07szan2.edgeone.app/

Page Load Overview

0.40s
Total Load Time
2
HTTP Requests
1
Domains
4 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:211 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCC1624959AE0D120A97F1F90AD3C61170F942038509CE08BEB853F87F9AE5E84F35EE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:lb8Fx5FpzA4JT6O5aA3ukiQili7iIisiIkH4n75H5u5g2erPiKYUGU7OS3m81iEC:N8F3F9D/bhiQili7iIisitH4n75sy2eM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5891:AEOoCwCQQIAgQAAgFDICgEBARAAUjDyQeAEGYKGCQVmABISSgALUAAwHGkEwtAAhCJYujABCQgiiVDUAgKAEJUAAQABQBEAg

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:1818241800000000
Perceptual Hash:939b998ccccc6666
Difference Hash:3228281000000000
Wavelet Hash:d8d8c0c8f0f0f0f0
Color Hash:#5362ac

Other Hashes

Crop Resistant:3228281000000000

Scan History

Scan history not available

Unable to load historical scan data