Security Scan Report: rolling-magenta-i0kl6tcegb-virc3ue4bw.edgeone.app

Submitted: Feb 27, 2026, 11:54:54 AMCompleted: Feb 27, 2026, 11:56:16 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is rolling-magenta-i0kl6tcegb-virc3ue4bw.edgeone.app and was registered NaN years ago.

Submitted URL: https://rolling-magenta-i0kl6tcegb-virc3ue4bw.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 activity; low risk despite unknown subdomain age.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious JavaScript or YARA matches
No brand impersonation or trademark misuse
No network IDS alerts
Page content appears to be a simple game/room creation interface
Domain age information unavailable

Details

Page Title

Hanhona - Couples Challenge

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

adult content

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'rolling-magenta-i0kl6tcegb-virc3ue4bw.edgeone.app' is registered with subdomain 'rolling-magenta-i0kl6tcegb-virc3ue4bw'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests 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://rolling-magenta-i0kl6tcegb-virc3ue4bw.edgeone.app/

Page Load Overview

1.31s
Total Load Time
10
HTTP Requests
5
Domains
158 KB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:577 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content69% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
69%
entertainment media
65%
documentation technical
43%
education learning
42%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.3.143United States
AS13335Cloudflare, Inc.
2142.250.201.74Singapore
243.152.26.58Singapore
2104.18.1.22United States
AS13335Cloudflare, Inc.
2172.217.20.131SingaporeUnknown
105--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E13F71A75B314769C7355B667EB33083634D147A90BDF6C3E8C8240AFC6BAC58A3798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LASSsQ8EhnXmC7yfcnJsr4mMP4nxgBtRU7p6kc0ODK9:jQhhXmEyfEJsr4mMP4nxg3RU7p6kc01

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44152:DGSAcTqCEkiXGQNB4CAbU0e4kBEEJKDpAuAhY8GAJlGEwCRHggYMDBCqUABBNGBGMoAeY3gJEkDIAOJgBWGQLjAEgtBBNhSP

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:60f0f8781a1e0e00
Perceptual Hash:ccc8333739338dcc
Difference Hash:c180b0f0b2f0fcfc
Wavelet Hash:60f0f87c3e1f0f06
Color Hash:#ac538a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data