Security Scan Report: daily-aqua-lupnkjgy22-jl0riv0c1s.edgeone.app

Submitted: Jan 23, 2026, 11:03:16 PMCompleted: Jan 23, 2026, 11:04:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is daily-aqua-lupnkjgy22-jl0riv0c1s.edgeone.app and was registered NaN years ago.

Submitted URL: https://daily-aqua-lupnkjgy22-jl0riv0c1s.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

Low risk site offering VPN config files; no immediate threats detected.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
No detected malware or suspicious scripts
Low ranking does not alone indicate malicious intent
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

cryptocurrency blockchain

(85%)

Domain Information

Within the application-focused generic top-level domain (.app), 'daily-aqua-lupnkjgy22-jl0riv0c1s.edgeone.app' is registered and includes subdomain 'daily-aqua-lupnkjgy22-jl0riv0c1s'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daily-aqua-lupnkjgy22-jl0riv0c1s.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:132 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

cryptocurrency blockchain85% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
85%
technology software
50%
documentation technical
35%
education learning
30%
adult content
30%

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

T1E232D8C5EBE70ACC681BC4685FFF6725222DA013D44DC95CB99E0E648F45188B1FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBohBh3hJh1RaXQl:KrzhNK/lMHmGgdkqJDZLd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11438:MB1CVnUgDYNUNJQUCQeiggAiCACMHwRgFJQNAABDjDSUAIEsA6A0wyCACYWCgcaCATzexwEkSWF6BAxAIAImqSoAOTYGVA0D

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:dcfcfcfce0808000
Perceptual Hash:da9a3c65689a4367
Difference Hash:3030307000000000
Wavelet Hash:dcfcfcfcc0e0c0c0
Color Hash:#a253ac

Other Hashes

Crop Resistant:3030307000000000

Scan History

Scan history not available

Unable to load historical scan data