Summary
This website contacted 95 IPs in 4 countries across 29 domains to perform 179 HTTP transactions. The main domain is fantasylandnews.com and was registered NaN years ago.
Submitted URL: https://www.fantasylandnews.com/2025/10/14/disney-launches-explore-disney-site-a-guide-to-streaming-content/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Disney+ Launches ‘Explore Disney+’ Site: A Guide to Streaming Content - Fantasy Land News
Scan Type
public
Language
English
Category
entertainment media
(81%)Domain Information
Within the commercial generic top-level domain (.com), 'www.fantasylandnews.com' is registered; it also runs on subdomain 'www'. Count 15 characters in 'fantasylandnews' with 4 vowels and eleven consonants. It segments into two words: fantasyland, news. Median word length comes out to 7.5 characters. 'news' most often appears in English. You will also see it in Chinese (Pinyin) and Sinhala 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 |
|---|---|---|---|
| 85 | 142.250.186.163 | United States | AS15169GOOGLE |
| 38 | 104.18.37.69 | United States | AS13335CLOUDFLARENET |
| 32 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 22 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 21 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 21 | 146.75.122.49 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 57.144.248.192 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 157.240.0.174 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 142.250.184.232 | United States | AS15169GOOGLE |
| 179 | 95 | - | - |
Detected Technologies17
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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