Security Scan Report: disturbing-coffee-ak229xqft4-uaypwmm1oa.edgeone.app

Submitted: Mar 27, 2026, 9:45:28 PMCompleted: Mar 27, 2026, 9:46:47 PMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is disturbing-coffee-ak229xqft4-uaypwmm1oa.edgeone.app and was registered NaN years ago.

Submitted URL: https://disturbing-coffee-ak229xqft4-uaypwmm1oa.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

Site shows no malicious indicators and poses low risk.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Hosted on a standard hosting platform (edgeone.app) with no known malicious activity
Domain age information unavailable

Details

Page Title

CIGAM | Kado Voxel Epik

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

education learning

(64%)

Domain Information

The domain name 'disturbing-coffee-ak229xqft4-uaypwmm1oa.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'disturbing-coffee-ak229xqft4-uaypwmm1oa'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Splitting it apart reveals 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://disturbing-coffee-ak229xqft4-uaypwmm1oa.edgeone.app/

Page Load Overview

0.69s
Total Load Time
7
HTTP Requests
3
Domains
120 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:2,515 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning64% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.141.99United States
AS15169Google LLC
243.152.26.58Singapore
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

T18A92841765A130A3544B90A1BBF10B1BBE74DA03D60B069837EC16D1DFDADF5A9A330E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:fyI/d4FtEoWD3+ipqZmt2m3My4M2ssrAUTjF6WbBU8Oi5gDpX6FNRGQR7lMBw6cF://d4FCa5mt2m3My4M2ssrAUTjF6WbB/p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20441:xFZsPSDBOIAf5UQ9jQAAGpgYDktUEAQVIkBIJGBCkxSDACMCMAmMAhLNkMjEQggMRAphZUKipbiJAmogkvMEPmMLeoYBAASQ

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:0000381818003fff
Perceptual Hash:8a1bf331d9235d89
Difference Hash:29e9f1f1f1d1ff01
Wavelet Hash:08193d3d3d010fff
Color Hash:#b0c587

Scan History

Scan history not available

Unable to load historical scan data