Security Scan Report: www.golfnow.eu

Site favicon
Submitted: Sep 29, 2026, 12:08:31 PMCompleted: Sep 29, 2026, 12:09:34 PMpubliccompleted

This website contacted 36 IPs in 3 countries across 25 domains to perform 203 HTTP transactions. The main domain is golfnow.eu and was registered 6 years ago.

Submitted URL: https://www.golfnow.eu/tee-times/public-golf-courses-in-buffalo-ny/search

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

golfnow.eu is the legitimate GolfNow golf tee-time booking site: 6-year-old domain, self-branded content matching the domain, no credential/payment forms, and no threat-intel, YARA, or IDS hits.

Safety Factors (6)
Established domain with 2245-day registration history
Business legitimacy indicators present (physical address, legal information)
Self-branded content matching the domain; no brand impersonation
No credential/payment collection forms
Cross-origin requests limited to mainstream analytics/consent providers
No Indicators of Compromise, YARA, Safe Browsing, or IDS hits
Domain age information unavailable

Details

Page Title

Public Golf Courses In Buffalo | GolfNow

Scan Type

public

Domain Name Analysis

The domain 'www.golfnow.eu' uses the .eu country-code top-level domain, featuring subdomain 'www'. Its registrable label 'golfnow' stretches across 7 characters split between 2 vowels and 5 consonants. It segments into 2 words: golf, now. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.golfnow.eu/tee-times/public-golf-courses-in-buffalo-ny/search

Page Load Overview

5.24s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16,025 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
59%
social media network
56%
technology software
52%
entertainment media
44%
e-commerce shopping
37%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28104.18.39.146Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
515.224.29.97Aws · CLOUDParis, Île-de-France, France
AS16509Amazon.com, Inc.
5104.86.150.244Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
5142.251.13.97Google · CDNUnited States
AS15169Google LLC
5104.18.40.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
515.224.78.98Aws · CLOUDParis, Île-de-France, France
AS16509Amazon.com, Inc.
5162.159.140.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
513.33.217.187Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
20336--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F58406567150132BD2E38398F6A1BA893211E15FFD3788EDF98C97781BDEAF1AC04119

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:A9RJtKaEQlSCReX9wYFZV9WnzC3Jzkyy4cRn4DX:AVtZ5Mt7WnO5g/Cz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:400841:iGQhgEBEsgEwxZRAMgA7IgDGmMFBgIDIDzm4SMkXAmEWw0myBdEgECYAkgPAIHkgYBAqwZIEKBDNQgABKGBC4I6pkUBAdNAI

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:0000000000ffffff
Perceptual Hash:ba29cece29d2a525
Difference Hash:49491d19199d7172
Wavelet Hash:0901010185ffffff
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data