Summary
This website contacted 81 IPs in 4 countries across 27 domains to perform 86 HTTP transactions. The main domain is nefes.com.tr.
Submitted URL: https://www.nefes.com.tr/fenerbahcenin-avrupadaki-rakibi-stuttgart-bundesligada-ucusa-gecti-72153
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Fenerbahçe'nin Avrupa'daki rakibi Stuttgart, Bundesliga’da uçuşa geçti
Scan Type
public
Language
English
Category
news media journalism
(56%)Domain Information
Domain 'www.nefes.com.tr' uses the Turkish country-code top-level domain (.com.tr) and includes subdomain 'www'. The second-level label 'nefes' is 5 characters long split between two vowels and 3 consonants. Tokenizing the label suggests 2 words: ne, fes. Median word length is 2.5 characters. 'ne' most strongly signals Slovenian. It also appears in Bosnian and Croatian contexts.
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 |
|---|---|---|---|
| 6 | 185.102.219.172 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 87.250.250.119 | Russia | AS13238YANDEX LLC |
| 1 | 87.250.251.119 | Russia | AS13238YANDEX LLC |
| 1 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 142.250.184.238 | United States | AS15169GOOGLE |
| 1 | 142.250.181.234 | United States | AS15169GOOGLE |
| 1 | 104.17.111.223 | United States | AS13335CLOUDFLARENET |
| 1 | 185.102.219.173 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 86 | 81 | - | - |
Detected Technologies4
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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