Security Scan Report: coherent-cyan-jfyovawy6d-kvwt8vzvyt.edgeone.app

Submitted: Mar 27, 2026, 4:15:44 PMCompleted: Mar 27, 2026, 4:17:06 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. The main domain is coherent-cyan-jfyovawy6d-kvwt8vzvyt.edgeone.app and was registered NaN years ago.

Submitted URL: https://coherent-cyan-jfyovawy6d-kvwt8vzvyt.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 82%

4
Risk Score

No malicious activity detected, but subdomain age is unknown, giving a moderate risk rating.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Uses reputable external services (Google APIs, Dropbox, Discord CDN)
Domain age information unavailable

Details

Page Title

Yongii's Little Den

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

education learning

(72%)

Domain Information

The domain 'coherent-cyan-jfyovawy6d-kvwt8vzvyt.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'coherent-cyan-jfyovawy6d-kvwt8vzvyt'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 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://coherent-cyan-jfyovawy6d-kvwt8vzvyt.edgeone.app/

Page Load Overview

3.04s
Total Load Time
13
HTTP Requests
8
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:429 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning72% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
72%
social media network
56%
technology software
56%
documentation technical
55%
entertainment media
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.217.168.74United States
AS15169Google LLC
1162.159.130.232United States
AS13335Cloudflare, Inc.
1142.251.127.94United States
AS15169Google LLC
1162.125.66.15Frankfurt am Main, Hesse, Germany
AS19679Dropbox, Inc.
1216.58.206.42United States
AS15169Google LLC
1146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
143.152.26.58Singapore
137--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCB1EA661840443A1173E4413BB6E38FBD27D1178906714530EE12B8FFCBEBB586EE58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:pFmJNVXenu6Z+hmuPr9Hcw9VCt22Uz0KHGEVElpmMCWQ+EaDwWfuYWKgvWL:pIJNVXen8fZcSCt2VzxNoRCt2DwWfuYL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5584:FGDNAghTIEwAIJyC8IAJKCRJQIShgFyQFJaM3IJiEB0KURAwCCAgIAAQGAhCASKhgQCZsAFwACjAigECIMGIIGAcBSABE3BA

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:ffc3c3c3e3ffffff
Perceptual Hash:e4648c99999b9367
Difference Hash:16868e9606280080
Wavelet Hash:c3c3c30042e7f767
Color Hash:#c5b387

Scan History

Scan history not available

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