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Security Scan Report: concrete-green-bz19ofksyc-43rsevyrud.edgeone.app

Submitted: Jan 20, 2026, 8:22:17 AMCompleted: Jan 20, 2026, 8:23:25 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is concrete-green-bz19ofksyc-43rsevyrud.edgeone.app and was registered NaN years ago.

Submitted URL: https://concrete-green-bz19ofksyc-43rsevyrud.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: 88%

1
Risk Score

Legitimate product page with low risk

Safety Factors
Established domain (>365 days)
No forms collecting sensitive data
No malicious Indicators of Compromise matches
Product information only, no login or checkout forms
HTTPS connection (implied by standard hosting)
Domain age information unavailable

Details

Page Title

Raida Riding Gloves - Premium Motorcycle Gloves for Ultimate Safety & Grip

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

You're looking at domain 'concrete-green-bz19ofksyc-43rsevyrud.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'concrete-green-bz19ofksyc-43rsevyrud'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Tokenizing the label suggests 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://concrete-green-bz19ofksyc-43rsevyrud.edgeone.app/

Page Load Overview

0.49s
Total Load Time
3
HTTP Requests
2
Domains
6 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:803 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
78%
e-commerce
35%

Detected Features

Products
OG: product
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.18.27.120United States
AS13335CLOUDFLARENET
143.152.26.58Singapore
AS139341ACE
32--

Detected Technologies1

Open-Graph-Protocolvproduct
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BB1A513D7B0280F1A32C09654B3B2986A34460F92038AF5B86D62BDDFDD66161FB25D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T2ONyTqeNgOsLylLNSeCijwLzpclfeg1pOHlrAzKmJWZqJJD4Nj6Ro/2crDVbi:A9NPlLc/iMzpcIgaHlUzKmJutd7V2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5235:AUCoEgDBERkgggEAgACYLgBGUERoLQCJAALACAABEllgAUMMIUMiYmMUACACAAARAQ5EEYACgAIAUCVAAhMSQAQDACARcF0A

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:00000000ffffffff
Perceptual Hash:b8086a7c7a236ddc
Difference Hash:11f3f3ff363e3b3b
Wavelet Hash:00000000ffffffff
Color Hash:#b1e06c

Other Hashes

Crop Resistant:11f3f3ff363e3b3b,1110f7f7f3f3f7ef

Scan History

Scan history not available

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