Security Scan Report: mild-chocolate-ozokn8rjou-uibkjekioz.edgeone.app

Submitted: Mar 27, 2026, 5:07:23 PMCompleted: Mar 27, 2026, 5:08:40 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 mild-chocolate-ozokn8rjou-uibkjekioz.edgeone.app and was registered NaN years ago.

Submitted URL: https://mild-chocolate-ozokn8rjou-uibkjekioz.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: 78%

2
Risk Score

Low‑risk marketing page; no credential collection or malware observed.

Risk Factors
New subdomain on free hosting platform (edgeone.app)
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No malicious JavaScript detected
Only standard external resources (Google Fonts) loaded
No Indicators of Compromise or network IDS alerts
Domain age information unavailable

Details

Page Title

CIGAM | Kado Karakter Epik

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

government public service

(53%)

Domain Information

The domain 'mild-chocolate-ozokn8rjou-uibkjekioz.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'mild-chocolate-ozokn8rjou-uibkjekioz'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Segmentation suggests 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://mild-chocolate-ozokn8rjou-uibkjekioz.edgeone.app/

Page Load Overview

0.53s
Total Load Time
7
HTTP Requests
3
Domains
144 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:3,459 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service53% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
53%
technology software
48%
adult content
46%
documentation technical
44%
education learning
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2142.251.143.99United States
AS15169Google LLC
2142.250.187.202United States
AS15169Google LLC
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19982411752F361B31947A2282797261A3AB4D1038F4A4B9437BC4380AF99FFDD69325F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Lbs7r4VN0npiCHELfpjLA0cOC1WUTxOyJi2XgYZnWQppKjeeLFhwtYeEHPSuTgdN:Hs7r4Vd2QapqeeLFhTHPSuTgdQIttP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18197:SwIoxCMAkYRXzuSGEYpMIRNIBNAcAUgyrI8HGIAKBQiJRgSlXchGQiMOFjBEEEogMQVAKuzyjZ+MUoRWBGMB64jJDAMUmQIm

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:00c3c3c7cfc3c3c3
Perceptual Hash:b05f6759136c4659
Difference Hash:2996969f9b96968f
Wavelet Hash:00c3e3c7cfc3c3c3
Color Hash:#862d6a

Scan History

Scan history not available

Unable to load historical scan data