Summary
This website contacted 20 IPs in 4 countries across 16 domains to perform 83 HTTP transactions. The main domain is filmbooster.com.au and was registered NaN years ago.
Submitted URL: https://www.filmbooster.com.au/creator/2229-thomas-jane/overview/
The Cisco Umbrella rank of the primary domain is #294,791 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
Thomas Jane | FilmBooster.com.au
Scan Type
public
Language
English
Category
entertainment media
(54%)Domain Information
Domain 'www.filmbooster.com.au' uses the Australian country-code top-level domain (.com.au), featuring subdomain 'www'. Count 11 characters in 'filmbooster' containing four vowels alongside seven consonants. It segments into 2 words: film, booster. Expect 5.5 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 |
|---|---|---|---|
| 7 | 65.8.131.76 | United States | AS16509AMAZON-02 |
| 4 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 3.174.46.38 | United States | AS16509AMAZON-02 |
| 4 | 142.250.186.136 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 93.185.98.108 | Brno, South Moravian, Czech Republic | AS43541VSHosting s.r.o. |
| 4 | 142.250.185.230 | United States | AS15169GOOGLE |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 93.185.98.104 | Brno, South Moravian, Czech Republic | AS43541VSHosting s.r.o. |
| 4 | 34.246.64.121 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 83 | 20 | - | - |
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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