Security Scan Report: clean-magenta-kge1mqxhxh-96ff4n54py.edgeone.app

Submitted: Jan 12, 2026, 7:30:45 AMCompleted: Jan 12, 2026, 7:32:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is clean-magenta-kge1mqxhxh-96ff4n54py.edgeone.app and was registered NaN years ago.

Submitted URL: https://clean-magenta-kge1mqxhxh-96ff4n54py.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: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain age reduces risk
Absence of forms that collect sensitive data
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(75% confidence)

Category

documentation technical

(43%)

Domain Information

Within the application-focused generic top-level domain (.app), 'clean-magenta-kge1mqxhxh-96ff4n54py.edgeone.app' is registered and includes subdomain 'clean-magenta-kge1mqxhxh-96ff4n54py'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://clean-magenta-kge1mqxhxh-96ff4n54py.edgeone.app/

Page Load Overview

14.46s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:75%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:75%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:75 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%
healthcare medical
38%
government public service
33%
news media journalism
33%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18402D7CAEBA705C9A82BC0682FFF5324222DE053C449CD5DB99E1F548F0518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBgh1RaXQl:KrzhNK/lMHmGgdkq3d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8755:MAUi3nACRQeQNBecAU2CjgAiSACEDUQAM9AJIEAKyDLQIIEPAMV0wwOACZcCQNaAgXicXQEmWWBaZAhBAoIOCCoGOCaWBgEB

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3038500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#3a6b78

Other Hashes

Crop Resistant:3038500000000000

Scan History

Scan history not available

Unable to load historical scan data