Security Scan Report: flowerboutique-0pefj3tfcu.edgeone.app

Submitted: Mar 12, 2026, 6:03:02 PMCompleted: Mar 12, 2026, 6:04:16 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 16 HTTP transactions. The main domain is flowerboutique-0pefj3tfcu.edgeone.app and was registered NaN years ago.

Submitted URL: https://flowerboutique-0pefj3tfcu.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 activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Content appears to be a legitimate boutique site
Domain age information unavailable

Details

Page Title

Fleur — Цветочный бутик

Scan Type

public

Language

🇷🇺

Russian

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'flowerboutique-0pefj3tfcu.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'flowerboutique-0pefj3tfcu'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flowerboutique-0pefj3tfcu.edgeone.app/

Page Load Overview

0.76s
Total Load Time
16
HTTP Requests
3
Domains
365 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

Language Code:ru
Detection Confidence:80%
Script Type:Cyrillic
HTML Lang Attribute:ru
Text Length:2,140 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
5142.251.36.106United States
5142.250.187.227United StatesUnknown
163--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FE2B855A6B700253043E0B6B7E71F4A3A64E52BDD4AC75033EC26A86FC7DE4DA5360C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WFBLODtfdCDuhv8HP1w8I6NfE01UlJCStvh50LmCmCNo7Z8Q7:WzLOaJS87NZWlJjdQiz9p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32984:AmAMndgKGuCgOQZzjEma0ASu4CcNJASQJAFBbABABk08ICADjIBdxE8DAwQAiABUwwoAEooBMAWAHHqxBRRgwTMG4hCTJWGJ

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:fcfbf93fb0303070
Perceptual Hash:c6dac0571a1ff8e0
Difference Hash:a48263656767e7a7
Wavelet Hash:fcf2f91bb0703070
Color Hash:#ac53ac

Other Hashes

Crop Resistant:a48263656767e7a7

Scan History

Scan history not available

Unable to load historical scan data