Summary
This website contacted 7 IPs in 2 countries across 33 domains to perform 2 HTTP transactions. The main domain is bold.dk and was registered NaN years ago.
Submitted URL: https://bold.dk/fodbold/kamp/hallescher-fc-vs-schalke-04/dfb-pokal/16354889
The Cisco Umbrella rank of the primary domain is #522,406 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site shows its own brand, has no forms or malicious indicators, and is hosted on a long‑standing domain – no scam evidence detected.
Safety Factors
Details
Page Title
Hallescher FC vs Schalke 04, DFB Pokal - 24. august 20:45
Scan Type
public
Language
Danish
Category
social media network
(83%)Domain Information
The domain 'bold.dk' uses the Danish country-code top-level domain (.dk) with no subdomain. Its registrable label 'bold' stretches across 4 characters split between 1 vowel and three consonants. Tokenizing the label suggests 1 word: bold. Median word length is four characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 3.5.139.197Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 21 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 21 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 21 | 151.101.131.52Fastly · CDN | United States | AS54113Fastly, Inc. |
| 21 | 108.138.26.25Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 21 | 2.16.238.4 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 21 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 153 | 7 | - | - |
Page Statistics
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
Other Hashes
Scan History
Scan history not available
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