Summary
This website contacted 10 IPs in 3 countries across 8 domains to perform 302 HTTP transactions. The main domain is souvenirs.vincent.voyage and was registered NaN years ago.
Submitted URL: https://souvenirs.vincent.voyage/what-to-see-budapest/
AI Security Verdict
Safe Website
Confidence: 92%
The site is a legitimate travel article with no phishing, credential harvesting, or malware indicators.
Safety Factors
Details
Page Title
What to see in Budapest? Here are the 12 most beautiful places !
Scan Type
public
Language
English
Category
travel tourism
(66%)Domain Information
Domain 'souvenirs.vincent.voyage' uses the .voyage top-level domain with subdomain 'souvenirs'. The second-level label 'vincent' is 7 characters long split between two vowels and 5 consonants. Word splitting yields 1 word: vincent. Expect seven 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 |
|---|---|---|---|
| 32 | 18.195.235.189 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 30 | 104.18.39.214 | United States | AS13335Cloudflare, Inc. |
| 30 | 99.84.152.94 | United States | AS16509Amazon.com, Inc. |
| 30 | 3.126.133.169 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 30 | 142.250.154.94 | United States | AS15169Google LLC |
| 30 | 109.234.161.112 | France | AS50474O2switch SAS |
| 30 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 30 | 192.178.183.95 | United States | AS15169Google LLC |
| 30 | 18.157.122.248 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 30 | 65.8.131.118 | United States | AS16509Amazon.com, Inc. |
| 302 | 10 | - | - |
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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