Security Scan Report: jealous-copper-rjwmpdxg-dpz5zp4s527s.edgeone.dev

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Submitted: Sep 7, 2026, 11:38:00 PMCompleted: Sep 7, 2026, 11:39:09 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The page appears to be a legitimate business site with no phishing or malware indicators; low risk.

Safety Factors (2)
Self‑branding matches site content
Informational business page with no suspicious scripts or redirects
Domain age information unavailable

Details

Page Title

Dein Barber | Coiffeur | Friseur | des Vertrauens - Al Capone Barbershop

Scan Type

public

Domain Name Analysis

You're looking at domain 'jealous-copper-rjwmpdxg-dpz5zp4s527s.edgeone.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'jealous-copper-rjwmpdxg-dpz5zp4s527s'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jealous-copper-rjwmpdxg-dpz5zp4s527s.edgeone.dev/

Page Load Overview

1.13s
Total Load Time
539 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,770 chars
Detector Agreement:60%

Website Classification

Primary Category

corporate70% confidence
Type: static
Method: structural

All Detected Categories

corporate
70%

Detected Features

Products
OG: business.business
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.127.95Google · CDNUnited States
AS15169Google LLC
343.174.246.29Singapore
3172.64.154.69Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
3104.18.33.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
343.174.247.29Singapore
206--

Detected Technologies2

Open-Graph-Protocolvbusiness.business
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17523FA56FAD44C7A83431374B8EB159824617606C7AB2FC03D8EC5BA0BDEBAD5C1731A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:TJWrHu5jTaj4PNSZ/K1jNiZ/KDtNiZ/KDeoNSZ/KDuNSZ4KeZfZHi+xueQ7Cg6SU:TvPNSZ/K9NiZ/KBNiZ/KCoNSZ/KaNSZw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46759:GwoC4IIQqjamV25SISnABLMYlaUEGYiAIQEUGvRAmMASIADSiIFQChxBQA4gAMUGWTARBgRE2zYWAMAEJVBuRK/8pELQiAhn

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:00717131103c3c3c
Perceptual Hash:ca65333938c6c7c5
Difference Hash:cdc1c5e5f1f1d5c5
Wavelet Hash:21717931193d3d3d
Color Hash:#2d8665

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data