Security Scan Report: fairwaytogreen.com

Submitted: Oct 12, 2025, 9:15:07 PMCompleted: Oct 12, 2025, 9:18:28 PMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 9 domains to perform 161 HTTP transactions. The main domain is fairwaytogreen.com.

Submitted URL: https://fairwaytogreen.com/2025-baycurrent-classic-preview-who-and-how-to-watch/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate informational golf site with no detected security threats.

Safety Factors
Standard informational website about a golf event
Only search forms present, which are normal website functionality
Domain not flagged by any threat intelligence sources
Domain age information unavailable

Details

Page Title

fairwaytogreen.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(100%)

Domain Information

Domain 'fairwaytogreen.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'fairwaytogreen' is 14 characters long containing six vowels alongside eight consonants. Word splitting yields 3 words: fairway, to, green. Average segment length settles at five characters. 'to' most often appears in Czech. It also appears in Slovak and Polish contexts. Net impression: Czech phrase.

Screenshot

Security scan screenshot of https://fairwaytogreen.com/2025-baycurrent-classic-preview-who-and-how-to-watch/

Page Load Overview

4.41s
Total Load Time
161
HTTP Requests
9
Domains
1.5 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-GB
Text Length:3,095 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13682.197.80.110Boston, Massachusetts, United States
AS47583Hostinger International Limited
534.253.3.7Dublin, Leinster, Ireland
AS16509AMAZON-02
5142.250.185.106United States
AS15169GOOGLE
5104.16.249.109United States
AS13335CLOUDFLARENET
5216.239.34.36United States
AS15169GOOGLE
5142.250.186.163United States
AS15169GOOGLE
5142.250.185.168United States
AS15169GOOGLE
52a06:98c1:3200::90:80United States
AS13335CLOUDFLARENET
5104.16.248.109United States
AS13335CLOUDFLARENET
52606:4700::6810:f96dUnited States
AS13335CLOUDFLARENET
16129--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170C33A72BC5D08371BAF52CEB016765C90BEC5BAD600E5F4F6FAA10C82B1ED131536A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qcq8uR0ELh4eKjI7kdVkpkuykdnApiGeD6t/U8f48PM1C0FzrKVdBvZ5ea7:5q8G0ELhtzsWcw4b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118902:ShgZeIi0YMko2GQwEAIAGKBCDDAGkIFwgBBEpoDgqACENgEBFIHCGisSGqBsIkEiCEvmMgEyzYRoEmiQLQmGEbZp4AgNRYFg

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:ffc3c7ffffc3c3c3
Perceptual Hash:b0cf30cd8e9b6623
Difference Hash:c0168e0806969e8e
Wavelet Hash:46c2c3e7c3c3c3c3
Color Hash:#83e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data