Security Scan Report: oneroyal.com

Redirected to: https://www.oneroyal.com/en/markets/instrument/BTCUSD.

Submitted: Nov 21, 2025, 12:01:45 PMCompleted: Nov 21, 2025, 12:05:34 PMpubliccompleted
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Summary

This website contacted 106 IPs in 6 countries across 28 domains to perform 328 HTTP transactions. The main domain is oneroyal.com and was registered NaN years ago.

Submitted URL: https://oneroyal.com/en/markets/instrument/BTCUSD.

Effective URL: https://www.oneroyal.com/en/markets/instrument/BTCUSD.Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No login or payment forms
Standard hosting environment
Domain age information unavailable

Details

Page Title

Instrument Details | OneRoyal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(25%)

Domain Information

You're looking at domain 'oneroyal.com' on the commercial generic top-level domain (.com). Count 8 characters in 'oneroyal' containing 4 vowels alongside four consonants. It segments into two words: one, royal. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oneroyal.com/en/markets/instrument/BTCUSD.

Page Load Overview

2.02s
Total Load Time
328
HTTP Requests
28
Domains
1.3 MB
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:36,148 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software25% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
203172.66.170.99United States
AS13335CLOUDFLARENET
2218.175.21.225London, England, United Kingdom
AS16509AMAZON-02
13104.18.26.193United States
AS13335CLOUDFLARENET
9216.198.54.3United States
AS209242Cloudflare London, LLC
618.213.253.17Ashburn, Virginia, United States
AS14618AMAZON-AES
6142.250.185.104United States
AS15169GOOGLE
454.194.169.174Dublin, Leinster, Ireland
AS16509AMAZON-02
352.212.1.12Dublin, Leinster, Ireland
AS16509AMAZON-02
3216.239.34.36United States
AS15169GOOGLE
369.173.144.138Frankfurt am Main, Hesse, Germany
AS26667RUBICONPROJECT
328106--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18264B50293EA553EC9639CC0276EA716EADD6353D406CE10BB9C4EA08FE5C57CC6721E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:I/TFOwq1Y5XmfKRkEEEEEEEE7ZEOkn99VdPw:IrFJqeg8Pw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:321376:AI6JKwIAdgB7B8AoaA9UAQCEiwkAIItGYJgbAAxHBo1+gIGCy3Dg+I2FVxkQBgKEYTpEL+gFCAAYG2cFAKxA9g6AcbAeoIpQ

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:a09b9bfffff9c9c7
Perceptual Hash:ed94394b966b2632
Difference Hash:4b26360608431b1c
Wavelet Hash:0092b3fbffe18982
Color Hash:#9479d2

Other Hashes

Crop Resistant:4b26360608431b1c

Scan History

Scan history not available

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