Security Scan Report: cconverter-id-ccmbwcikkm.edgeone.app

Submitted: Jan 21, 2026, 3:04:17 PMCompleted: Jan 21, 2026, 3:05:34 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 5 HTTP transactions. The main domain is cconverter-id-ccmbwcikkm.edgeone.app and was registered NaN years ago.

Submitted URL: https://cconverter-id-ccmbwcikkm.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: 92%

0
Risk Score

The site shows no suspicious activity and is likely a legitimate utility.

Safety Factors
Established domain (>365 days)
No malicious Indicators of Compromise
No forms collecting sensitive data
Low ranking does not indicate brand impersonation
Domain age information unavailable

Details

Page Title

Case Converter - JMC World

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

adult content

(32%)

Domain Information

You're looking at domain 'cconverter-id-ccmbwcikkm.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'cconverter-id-ccmbwcikkm'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 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://cconverter-id-ccmbwcikkm.edgeone.app/

Page Load Overview

0.85s
Total Load Time
4
HTTP Requests
3
Domains
175 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:1,062 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content32% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
32%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.24.14United States
AS13335CLOUDFLARENET
12.16.241.13Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
143.152.26.58Singapore
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE13A65B66E32062A953A1FE17AAA7863774C103948ADE243ADC47D44F81F84DCF77C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:6Z92BoLWGAMERn1rMojTsFguHMZQ9MzXzVQcLeDtgWMmnVaEV:6Z92BoLWGA5Rn1rPjTsFg4HJx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45317:AOMBiAsCgFW4QTXZYYCGDAElDa8AC4B4dFXDG4cOQJ2CCRAAcHBQ4BaqaSBQmcrgOcRMUUkUgAQWCxARRgWqUoFolk0QDRGC

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:00187e7e7e7f7f7f
Perceptual Hash:803f3a6a3b6a3596
Difference Hash:33f0e4c4e4c4ecd8
Wavelet Hash:00003e7e3e7e747e
Color Hash:#8a53ac

Scan History

Scan history not available

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