Summary
This website contacted 159 IPs in 7 countries across 56 domains to perform 184 HTTP transactions. The main domain is fanatik.com.tr.
Submitted URL: https://www.fanatik.com.tr/en/league/uefa-champions-league/football/standings/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate sports news page with no security concerns.
Safety Factors
Details
Page Title
UEFA Champions League Standings 2025 - UEFA Champions League League Table
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain name 'www.fanatik.com.tr' uses the Turkish country-code top-level domain (.com.tr), featuring subdomain 'www'. The core label 'fanatik' covers 7 characters split between three vowels and four consonants. Splitting it apart reveals 3 words: fan, a, tik. Median word length comes out to three characters. The linguistic tilt is Hungarian for 'fan'. It also appears in Portuguese and Galician contexts. Taken together, it feels Hungarian.
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 |
|---|---|---|---|
| 46 | 89.222.124.23 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 11 | 172.66.148.140 | United States | AS13335CLOUDFLARENET |
| 8 | 142.250.186.67 | United States | AS15169GOOGLE |
| 7 | 142.250.184.230 | United States | AS15169GOOGLE |
| 7 | 77.88.21.119 | Russia | AS13238YANDEX LLC |
| 6 | 162.19.102.238 | France | AS16276OVH SAS |
| 6 | 142.250.185.142 | United States | AS15169GOOGLE |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 185.102.219.172 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 87.250.251.119 | Russia | AS13238YANDEX LLC |
| 184 | 159 | - | - |
Detected Technologies2
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
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