Security Scan Report: nbarollcallhugo-vyp9hia56t.edgeone.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 4 countries across 28 domains to perform 343 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://nbarollcallhugo-vyp9hia56t.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: 82%

2
Risk Score

The site shows no malicious forms or indicators, but unknown subdomain age and low reputation suggest a low risk level.

Risk Factors (3)
Domain age unknown (subdomain on edgeone.app)
Low Cisco Umbrella ranking (455,732)
Hosted on a generic PaaS subdomain
Safety Factors (3)
Absence of forms that collect credentials or payment data
No malicious external links or suspicious network activity
No brand impersonation detected in meta tags or page content
Domain age information unavailable

Details

Page Title

Patpong: the rise of Bangkoks most famous red light district charted at new museum, complete with

Scan Type

public

Domain Name Analysis

The domain 'nbarollcallhugo-vyp9hia56t.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'nbarollcallhugo-vyp9hia56t'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Segmentation 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://nbarollcallhugo-vyp9hia56t.edgeone.app/

Page Load Overview

90.17s
Total Load Time
4.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:1,649 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
86%
news media journalism
50%
social media network
43%
adult content
35%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2087.248.119.251United Kingdom
AS203220Yahoo-UK Limited
17192.0.66.112San Francisco, California, United States
AS2635Automattic, Inc
17104.26.4.30United States
AS13335Cloudflare, Inc.
17172.66.169.241United States
AS13335Cloudflare, Inc.
17172.67.73.202United States
AS13335Cloudflare, Inc.
17104.21.0.120United States
AS13335Cloudflare, Inc.
17192.0.66.152San Francisco, California, United States
AS2635Automattic, Inc
1723.48.23.152Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
17192.178.183.94United States
AS15169Google LLC
1754.192.35.93United States
AS16509Amazon.com, Inc.
34320--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165A21B77A1C6493A575203C190C175EC742BBD07EA2389E5B5EFB367D1C2FE28932826

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GnWhnYf8zX+bxtjgMC6RDhwMhqpqKEI8nqeTjuUksVlvf7zxYYrWag4MDb:FWhnz+boAhwMh+3EI8csVEYrWag4Ab

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22266:xgwOhA3KYGAMUjAURwAaMIBVIVyRTIBFIiBSQ/JgrwEOxAwAwgDoRUhSyQnAMgUQ0WAGIBCEEMQZEU8blKyAEKAAKIwAFEAQ

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:0000387c7c3c7c3e
Perceptual Hash:82693ed3c5c31c67
Difference Hash:f121f0d0d0f8cce4
Wavelet Hash:0000387e7e7e7e3e
Color Hash:#c5a087

Scan History

Scan history not available

Unable to load historical scan data