Summary
API
Submitted URL: https://golf.se/regler-handicap/regelpodden?utm_source=newsletter&utm_medium=email&utm_campaign=Golfa_November_2026&dt_id=fcd58f97-538d-4232-8bec-ce92f0c0cceb
AI Security Verdict
Safe Website
Confidence: 92%
Official Swedish Golf Federation podcast page on golf.se; self-branded, no credential or payment forms, no malware or IDS hits. The single threat-intel entry is a generic outbound-abuse reputation tag on a linked third-party domain.
Safety Factors (5)
Details
Page Title
Regelpodden från Svenska Golfförbundet
Scan Type
public
Domain Name Analysis
The domain name 'golf.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'golf' is 4 characters long holding 1 vowel versus three consonants. Splitting it apart reveals one word: golf. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
All Detected Languages
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 60 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 48 | 195.181.166.158Datacamp · CDN | Stockholm, Stockholm County, Sweden | AS60068Datacamp Limited |
| 14 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 14 | 18.173.205.19Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 14 | 18.195.235.189Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 14 | 3.126.133.169Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 10 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 2 | 176.57.88.78 | Stockholm, Stockholm County, Sweden | AS197308Telia Cygate AB |
| 1 | 185.21.145.151 | Stockholm, Stockholm County, Sweden | AS197308Telia Cygate AB |
| 127 | 9 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data