Security Scan Report: aplikasi-massa-berat-k2s7t0rlmm.edgeone.app

Submitted: Feb 12, 2026, 8:46:12 AMCompleted: Feb 12, 2026, 8:47:35 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is aplikasi-massa-berat-k2s7t0rlmm.edgeone.app and was registered NaN years ago.

Submitted URL: https://aplikasi-massa-berat-k2s7t0rlmm.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>365 days)
No malicious Indicators of Compromise
No credential or payment collection forms
No external links or third‑party domains
Page content unavailable but no malicious signals
Domain age information unavailable

Details

Page Title

aplikasi-massa-berat-k2s7t0rlmm.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(31%)

Domain Information

You're looking at domain 'aplikasi-massa-berat-k2s7t0rlmm.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'aplikasi-massa-berat-k2s7t0rlmm'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aplikasi-massa-berat-k2s7t0rlmm.edgeone.app/

Page Load Overview

5.38s
Total Load Time
7
HTTP Requests
5
Domains
9.8 MB
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:433 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service31% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
743.152.26.58Singapore
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8Old8:VhoC9JSqzzbs6o3Sj3gcrsu2eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:CnwEChEawuQqIUaM+ShcVIiMRSIGgIQAQIiH5cACCYiAwJKMKFUGAK4xSSwpAKkgmEMwRMCBAhRsCiQiNABJNUONEONRuIgR

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#862d43

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data