Summary
This website contacted 136 IPs in 6 countries across 35 domains to perform 172 HTTP transactions. The main domain is getfootballnewsgermany.com and was registered NaN years ago.
Submitted URL: https://www.getfootballnewsgermany.com/2025/ratings-dortmund-koln/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
PLAYER RATINGS | Borussia Dortmund 1-0 1.FC Köln - A late Maximilian Beier goal rescue a vital three points for BVB - Get German Football News
Scan Type
public
Language
English
Category
malicious
(56%)Domain Information
Domain 'www.getfootballnewsgermany.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'getfootballnewsgermany' is 22 characters long containing 7 vowels alongside 15 consonants. Word splitting yields four words: get, football, news, germany. Median word length is 5.5 characters. 'get' most often appears in Chinese (Pinyin). Secondary signals appear in English and Chinese (Zhuyin).
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 |
|---|---|---|---|
| 37 | 79.127.216.47 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 172.67.204.100 | United States | AS13335CLOUDFLARENET |
| 1 | 146.75.122.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 52.57.221.121 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 172.217.18.1 | United States | AS15169GOOGLE |
| 1 | 108.129.63.17 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 23.35.228.217 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 54.247.33.196 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 172.66.148.159 | United States | AS13335CLOUDFLARENET |
| 1 | 104.26.9.129 | United States | AS13335CLOUDFLARENET |
| 172 | 136 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
Unable to load historical scan data