Security Scan Report: zoophagous-fuchsia-vnpk9lbe5t-g531oamqxd.edgeone.app

Submitted: Jan 25, 2026, 4:48:52 AMCompleted: Jan 25, 2026, 4:50:03 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 zoophagous-fuchsia-vnpk9lbe5t-g531oamqxd.edgeone.app and was registered NaN years ago.

Submitted URL: https://zoophagous-fuchsia-vnpk9lbe5t-g531oamqxd.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: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No login or payment forms
No malicious Indicators of Compromise
Established domain (>2 years old)
No external links or redirects
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

government public service

(56%)

Domain Information

The domain 'zoophagous-fuchsia-vnpk9lbe5t-g531oamqxd.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'zoophagous-fuchsia-vnpk9lbe5t-g531oamqxd'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Word splitting yields 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://zoophagous-fuchsia-vnpk9lbe5t-g531oamqxd.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:98 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
56%
gambling betting
52%
news media journalism
50%
technology software
41%
documentation technical
28%

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

T1193297C5EFE60ACC681BC4685FFF6725322DA013D849C95CB99E0E648F45188B4BB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBAhmhKh1h1RaXQl:KrzhNK/lMHmGgdkqbs0nd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11396:YAVCVnEApY8RNDSEAwWiwCQCKQCmDQQhFNBNAKBLrDQUAYEIAaA00wCQSScCNsaAwTzcxSUkSMhaBApCIAIfKypAOCYGRAFB

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:dcfcfcfcc0808000
Perceptual Hash:da9a386d689ac365
Difference Hash:3030706000000000
Wavelet Hash:dcfcfcfcc0e0c0c0
Color Hash:#e06cd0

Other Hashes

Crop Resistant:3030706000000000

Scan History

Scan history not available

Unable to load historical scan data