Security Scan Report: lilyarobertopiraloff-xc7cv3wmh3.edgeone.app

Submitted: Mar 9, 2026, 7:00:02 PMCompleted: Mar 9, 2026, 7:01:30 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 18 HTTP transactions. The main domain is lilyarobertopiraloff-xc7cv3wmh3.edgeone.app and was registered NaN years ago.

Submitted URL: https://lilyarobertopiraloff-xc7cv3wmh3.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%

1
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
No network IDS alerts
Page title appears to be a legitimate business name (Roberto Piraloff – «Փիրալյան» ՍՊԸ)
Domain age information unavailable

Details

Page Title

Roberto Piraloff — «Փիրալյան» ՍՊԸ

Scan Type

public

Language

🇪🇪

ET

(37% confidence)

Category

corporate business

(81%)

Domain Information

The domain name 'lilyarobertopiraloff-xc7cv3wmh3.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'lilyarobertopiraloff-xc7cv3wmh3'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lilyarobertopiraloff-xc7cv3wmh3.edgeone.app/

Page Load Overview

1.02s
Total Load Time
18
HTTP Requests
7
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

🇪🇪ET
Code: et
Confidence:37%
Script:Latin
Direction:ltr

Detection Details

Language Code:et
Detection Confidence:37%
Script Type:Latin
HTML Lang Attribute:hy
Text Length:3,437 chars
Detector Agreement:50%
Language mismatch: Declared as hy but detected as et

Website Classification

Primary Category

corporate business81% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
81%
finance banking
75%
adult content
61%
government public service
41%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3Russia
287.250.247.182United States
2142.251.141.106United States
AS15169Google LLC
243.152.26.58Singapore
295.163.238.92Russia
AS197695Domain names registrar REG.RU, Ltd
2142.251.36.99United States
AS15169Google LLC
218.66.107.111UnknownUnknown
187--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7728671F2A1512F316BF0D4E9626B6FB5C8D457D027426C7AAC19A0CF89CF26F23508

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UjPxXtx2greysHW2FuOOXDlBPzBbEbz0SsH0:UjZXtxlsTFMXzPNwBsU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16748:AgIIBGQaQGPJCCJJARSKkDSIzEYJAMJDBgBAQiNUmBCgl2DSSQS7iaCkOOo40ZIGUGQxD2EhHAQBEADBVQCAklBUkgYoFCEh

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:c0c00000003c3c3c
Perceptual Hash:9a65da48679a6533
Difference Hash:9931c1e143717969
Wavelet Hash:e9d97101113d3d3d
Color Hash:#bfac40

Scan History

Scan history not available

Unable to load historical scan data