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Security Scan Report: hiuroyals.com

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Submitted: May 1, 2026, 5:59:49 PMCompleted: May 1, 2026, 6:01:22 PMpubliccompleted
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Summary

This website contacted 18 IPs in 1 country across 19 domains to perform 69 HTTP transactions. The main domain is hiuroyals.com and was registered NaN years ago.

Submitted URL: https://hiuroyals.com/sports/baseball/roster/david-rivera/4392

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site is old and shows no malicious activity, but brand mismatch and lack of reputation suggest low risk; no scam detected.

Risk Factors
Domain is unranked in Cisco Umbrella top 1M
Brand name appears in meta tags while domain does not match the brand
Safety Factors
Very old domain registration (over 15 years)
No malicious indicators (IoC, YARA, IDS alerts)
No forms collecting credentials or payments
No JavaScript credential exfiltration or suspicious behavior
Domain age information unavailable

Details

Page Title

David Rivera - 2024 - Baseball - Hope International University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(79%)

Domain Information

Within the commercial generic top-level domain (.com), 'hiuroyals.com' is registered. Its registrable label 'hiuroyals' stretches across 9 characters split between 4 vowels and five consonants. Tokenizing the label suggests three words: hi, u, royals. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hiuroyals.com/sports/baseball/roster/david-rivera/4392

Page Load Overview

4.62s
Total Load Time
101
HTTP Requests
27
Domains
3.0 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:5,060 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media79% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
79%
adult content
78%
technology software
48%
documentation technical
36%
social media network
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1618.244.18.42United States
AS16509Amazon.com, Inc.
5104.18.40.238United States
AS13335Cloudflare, Inc.
5142.251.14.94United States
AS15169Google LLC
518.172.112.3United States
AS16509Amazon.com, Inc.
5174.143.40.29United States
AS33070Rackspace Hosting
565.9.175.39United States
AS16509Amazon.com, Inc.
516.182.33.73Ashburn, Virginia, United States
AS16509Amazon.com, Inc.
554.192.87.10United States
AS16509Amazon.com, Inc.
565.8.131.47United States
AS16509Amazon.com, Inc.
5142.251.13.154United States
AS15169Google LLC
10118--

Detected Technologies4

JQueryv1.9.1
100%
HSTS
40%
Microsoft ASP.NET
30%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134155F54A5B21E3601AF21F78AA27D45A1BE010794481D28FAECDF583FF1B36D663E07

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:kvEEFW/3FdQd3dZdWdjdw/3TdWdhdEdXd6dO/38Kfct/WtLWdi59:kvEEFiXyt7kZUJkT2NY6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:922823:BQENiJMEK2ZkGJCAoVEFoDpMi9CB3JMmRDIAIkWySBYgSQpqYBzAAqABoLBocCZQyqE0DVgQAIsgHBAnGVJMzDAAQUIjChD1

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:18ffff81c181c1c9
Perceptual Hash:ea95944c696a3e99
Difference Hash:b1f02b0313331313
Wavelet Hash:18ffff81818181db
Color Hash:#ac537a

Other Hashes

Crop Resistant:b1f02b0313331313,0551857a7a854100,41514d11914d4101,d494959534b53032

Scan History

Scan history not available

Unable to load historical scan data