Security Scan Report: fantastic-purple-vz9yftfuvn-iaienfcoa2.edgeone.app

Submitted: May 15, 2026, 7:35:50 AMCompleted: May 15, 2026, 7:38:00 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is fantastic-purple-vz9yftfuvn-iaienfcoa2.edgeone.app and was registered NaN years ago.

Submitted URL: https://fantastic-purple-vz9yftfuvn-iaienfcoa2.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: 70%

2
Risk Score

Low risk site with no malicious activity detected; safe but monitor due to unknown subdomain age.

Risk Factors
Unknown subdomain creation date (could be brand new)
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

entertainment media

(46%)

Domain Information

The domain name 'fantastic-purple-vz9yftfuvn-iaienfcoa2.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fantastic-purple-vz9yftfuvn-iaienfcoa2'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Splitting it apart reveals 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://fantastic-purple-vz9yftfuvn-iaienfcoa2.edgeone.app/

Page Load Overview

0.37s
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:83 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

entertainment media46% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
46%
news media journalism
43%
healthcare medical
38%
documentation technical
35%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13202B5CAEBA705C9682BC0682FFF5724222DE017C449CD5DB95F5F548F0518875EA2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBdh1RaXQl:GrzhNK/lMHmGgdkqAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8747:grSiEIRwTCIVEtKhQQRQE6BhIIQBgBbtgFaUFBAyEkhHzwhAWoQSAkAkiVaAg9XCHBDBAUDMGwToZSMIYoh0KiRkQYMAJAyE

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:dcfcfce0e0c0c080
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3038500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#53a2ac

Other Hashes

Crop Resistant:3038500000000000

Scan History

Scan history not available

Unable to load historical scan data