Summary
This website contacted 171 IPs in 7 countries across 48 domains to perform 262 HTTP transactions. The main domain is attractionsmagazine.com and was registered NaN years ago.
Submitted URL: https://attractionsmagazine.com/tron-ares-movie-review-2025/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
attractionsmagazine.com
Scan Type
public
Language
English
Category
entertainment media
(62%)Domain Information
Domain 'attractionsmagazine.com' uses the commercial generic top-level domain (.com). Its registrable label 'attractionsmagazine' stretches across 19 characters split between 8 vowels and 11 consonants. Splitting it apart reveals two words: attractions, magazine. Expect 9.5 characters per word on average. 'attractions' is most common in English usage. Secondary signals appear in French and Chinese (Pinyin).
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 |
|---|---|---|---|
| 92 | 18.157.230.4 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 116.203.77.34 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 1 | 52.222.136.114 | United States | AS16509AMAZON-02 |
| 1 | 3.64.74.40 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 13.226.244.58 | United States | AS16509AMAZON-02 |
| 1 | 142.250.184.232 | United States | AS15169GOOGLE |
| 1 | 185.89.210.20 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 3.21.179.113 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 1 | 142.250.186.110 | United States | AS15169GOOGLE |
| 262 | 171 | - | - |
Detected Technologies22
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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