Security Scan Report: www.svenskgolf.se

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Submitted: Sep 24, 2026, 1:48:06 PMCompleted: Sep 24, 2026, 1:49:12 PMpubliccompleted

This website contacted 38 IPs in 3 countries across 24 domains to perform 94 HTTP transactions. The main domain is svenskgolf.se and was registered 22 years ago.

Submitted URL: https://www.svenskgolf.se/kategori/tournytt/?utm_source=newsletter&utm_medium=email&utm_campaign=Tournytt_v39_2026&dt_id=fcd58f97-538d-4232-8bec-ce92f0c0cceb

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Established Swedish golf news site (23-year-old domain) with self-branding, no credential or payment forms, and no threat-intel or malware signals. Clean.

Safety Factors (5)
Established 23-year-old domain with consistent Swedish golf media branding
No credential-harvesting or payment forms present
No threat-intelligence, YARA or network IDS hits
Standard European advertising-consent framework (CMP vendor list) visible
Editorial content about golf tours and players — no impersonation of another entity
Domain age information unavailable

Details

Page Title

Kategori: Tournytt

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'www.svenskgolf.se' is registered with subdomain 'www'. Its registrable label 'svenskgolf' stretches across 10 characters with two vowels and eight consonants. Breaking it apart gives 3 words: sven, sk, golf. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.svenskgolf.se/kategori/tournytt/?utm_source=newsletter&utm_medium=email&utm_campaign=Tournytt_v39_2026&dt_id=fcd58f97-538d-4232-8bec-ce92f0c0cceb

Page Load Overview

5.02s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:48,149 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting72% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
72%
adult content
71%
entertainment media
55%
travel tourism
49%
blog personal website
36%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20162.159.135.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
2142.250.154.157Google · CDNUnited States
AS15169Google LLC
2184.24.77.60Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.111.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
223.53.41.18Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.251.151.119Google · CDNUnited States
AS15169Google LLC
2142.250.154.156Google · CDNUnited States
AS15169Google LLC
2184.24.77.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9438--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CA37A31F09001B73E8F5F3C8586E23A75E867114A067BB7B4F9B0A84A84AFB14F655D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:v9cqyp+PudVczwBpfJyEFBAhFmdl7FXygadAyoHS:v9gkqAoaSyoy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99604:QcAXYAIABYEgyEAES1IU0RRVBBcYhEJY2kgBSiIchZEWgQRqwJ9aqxYaAME2wPTgJnOJMCSJDQMALwKkAMoCAbCBJhagIKIo

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:f9bfdfffffff8387
Perceptual Hash:bec13cc19965c927
Difference Hash:6b603f340024263e
Wavelet Hash:009e80fffefe8202
Color Hash:#40bf62

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data