Security Scan Report: royalskeep.com

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Submitted: Completed: publiccompleted
This website contacted 39 IPs in 3 countries across 26 domains to perform 101 HTTP transactions. The main domain is royalskeep.com and was registered 1 year 1 month ago.

Submitted URL: https://royalskeep.com/news-rumors/kansas-city-royals/how-did-jac-caglianone-find-the-sweet-spot-to-take-his-hitting-to-another-level-r4568/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page is a legitimate news site with a standard login form and no malicious indicators.

Safety Factors (4)
Self‑branding aligns with domain
Content appears to be a news article about a sports figure
No malicious scripts or external form actions
No credential or payment harvesting beyond standard site login
Domain age information unavailable

Details

Page Title

How Did Jac Caglianone Find the Sweet Spot to Take His Hitting to Another Level? - Royals - Royals Keep

Scan Type

public

Domain Name Analysis

The domain name 'royalskeep.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 10 characters in 'royalskeep' containing 4 vowels alongside six consonants. Splitting it apart reveals two words: royals, keep. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://royalskeep.com/news-rumors/kansas-city-royals/how-did-jac-caglianone-find-the-sweet-spot-to-take-his-hitting-to-another-level-r4568/

Page Load Overview

1.74s
Total Load Time
2.7 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:15,296 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism53% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
53%
adult content
39%
entertainment media
38%
corporate
35%
forum
25%

Detected Features

Search
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25108.138.24.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.66.147.22Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2100.57.114.123Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
252.222.250.179Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.222.250.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
213.226.247.127Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2100.60.18.37Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
218.66.147.26Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
220.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
10139--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183D0239F5C08881F2D517D85FD91313FC0FB512A3911EE5598F45C349D343AC4438C00

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqBe2pT60CeT60WAbvlHT8NWQAJGNVuB9d:hJphb9z8NWQKGNVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d69980c705f47086af167ad126be75a2

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:0000ffffff878387
Perceptual Hash:b6c9383ec33ae8c2
Difference Hash:390e4ce8e42c2d2d
Wavelet Hash:00003f7fff878383
Color Hash:#2d864c

Scan History

Scan history not available

Unable to load historical scan data