Summary
This website contacted 11 IPs in 4 countries across 24 domains to perform 128 HTTP transactions. The main domain is knjizare-vulkan.rs and was registered 16 years ago.
Submitted URL: https://www.knjizare-vulkan.rs
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate online bookstore; login forms are standard, no malicious activity detected.
Risk Factors
Safety Factors
Details
Page Title
Knjižare Vulkan online | Knjižare Vulkan
Scan Type
public
Language
HR
Category
entertainment media
(94%)Domain Information
The domain name 'www.knjizare-vulkan.rs' uses the Serbian country-code top-level domain (.rs), featuring subdomain 'www'. The second-level label 'knjizare-vulkan' is 15 characters long holding 5 vowels versus nine consonants; it also includes one hyphen. Segmentation suggests 7 words: k, nji, z, are, vu, lk, an. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 34 | 104.17.97.195 | Switzerland | AS15169Google LLC |
| 28 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 28 | 2.18.64.220 | France | AS8075Microsoft Corporation |
| 28 | 142.250.154.97 | United States | AS15169Google LLC |
| 28 | 216.198.54.3 | United States | AS209242Cloudflare London, LLC |
| 28 | 23.52.181.90 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 28 | 142.251.110.95 | United States | AS15169Google LLC |
| 28 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 28 | 23.36.162.8 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 28 | 5.39.98.177 | France | AS16276OVH SAS |
| 314 | 11 | - | - |
Page Statistics
Detected Technologies5
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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