Security Scan Report: dongkill-pesegf9oa5.edgeone.app

Submitted: Apr 12, 2026, 11:57:15 AMCompleted: Apr 12, 2026, 11:58:34 AMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 3 domains to perform 1 HTTP transaction. The main domain is dongkill-pesegf9oa5.edgeone.app and was registered NaN years ago.

Submitted URL: https://dongkill-pesegf9oa5.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

The site shows low risk with no malicious activity, but unknown subdomain age and adult content suggest cautious use.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
Content classified as adult material (79% confidence)
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
No credential exfiltration or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

콘텐츠 리스트 - 하드코어 버전

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

adult content

(79%)

Domain Information

You're looking at domain 'dongkill-pesegf9oa5.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'dongkill-pesegf9oa5'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dongkill-pesegf9oa5.edgeone.app/

Page Load Overview

1.86s
Total Load Time
8
HTTP Requests
3
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:97 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content79% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
79%
entertainment media
71%
phishing scam
49%
social media network
47%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.178.183.94United States
AS15169Google LLC
243.152.26.58Singapore
245.43.142.101United Kingdom
AS16276OVH SAS
83--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13462D773226620266597A4E57B63CB0B3131D20BDA0789547FEC56A0CFCDDD2ACB639C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:cfNnjqVEjTc+gtg5gzAqHsy/eC1SOWZAKx6MSiCqpJaTdFj270z9XFbl6EgSekYV:cFjZ4X+xH3gdM7+9XFbaxke39Fan9a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15185:NBSAoiseQUAIoohg44ohFsBwGkSABKqhAYijEEKgKCARAiUKSmIQLEQIAjUTSETYQjcEiE+CsmgkAEExPqCAEGATQ8wRwwzA

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:ffe7e7e7e7e7e7e7
Perceptual Hash:b3cccccc89cccc33
Difference Hash:0c4c4c4c4c4c4c4d
Wavelet Hash:e6c6c6c6c4c4c6c6
Color Hash:#d22db4

Scan History

Scan history not available

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