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Security Scan Report: prominent-rose-zappv4xdiq-7wpc6hk59r.edgeone.app

Submitted: Feb 9, 2026, 9:41:48 AMCompleted: Feb 9, 2026, 9:43:37 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 prominent-rose-zappv4xdiq-7wpc6hk59r.edgeone.app and was registered NaN years ago.

Submitted URL: https://prominent-rose-zappv4xdiq-7wpc6hk59r.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 malicious indicators; site appears legitimate but is currently unreachable.

Safety Factors
Domain is older than 365 days
No credential or payment collection forms
No external domains linked
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

prominent-rose-zappv4xdiq-7wpc6hk59r.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

entertainment media

(58%)

Domain Information

Domain 'prominent-rose-zappv4xdiq-7wpc6hk59r.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'prominent-rose-zappv4xdiq-7wpc6hk59r'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://prominent-rose-zappv4xdiq-7wpc6hk59r.edgeone.app/

Page Load Overview

33.01s
Total Load Time
2
HTTP Requests
1
Domains
3 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:73 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

entertainment media58% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
58%
government public service
46%
news media journalism
30%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz+2bMy8Old+:thoC9JSqzzbs6o3Sj3gcrsa2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:aiTDoGCgAKBEKSQOgOmgZCc9YZBQ2xAAedSEFIYDCJAYMBQACAWYIKcESSKyRII08IAEUUQkEJTYpsWgwQgAwVJIDCiTRchu

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#8c1f93

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data