Summary
This website contacted 157 IPs in 8 countries across 62 domains to perform 335 HTTP transactions. The main domain is piratesandprincesses.net and was registered NaN years ago.
Submitted URL: https://piratesandprincesses.net/disney-announces-partnership-with-formula-1-racing-in-2026/
AI Security Verdict
High Risk
Confidence: 85%
Site impersonates Disney; high‑risk phishing page.
Risk Factors
Details
Page Title
Disney Announces Partnership with Formula 1 Racing in 2026
Scan Type
public
Language
English
Category
entertainment media
(82%)Domain Information
The domain 'piratesandprincesses.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. Its registrable label 'piratesandprincesses' stretches across 20 characters split between 7 vowels and 13 consonants. Segmentation suggests three words: pirates, and, princesses. The median word length lands at seven characters. 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 |
|---|---|---|---|
| 42 | 2.16.168.40 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 20 | 146.75.122.49 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 14 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 13 | 3.79.16.5 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 13 | 35.227.252.103 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 12 | 116.203.77.34 | Nuremberg, Bavaria, Germany | AS24940Hetzner Online GmbH |
| 12 | 130.61.225.139 | Frankfurt am Main, Hesse, Germany | AS31898ORACLE-BMC-31898 |
| 11 | 185.64.189.112 | United Kingdom | AS62713AS-PUBMATIC |
| 11 | 52.223.6.21 | United States | AS16509AMAZON-02 |
| 11 | 13.33.186.215 | New York, New York, United States | AS16509AMAZON-02 |
| 335 | 157 | - | - |
Detected Technologies1
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
Unable to load historical scan data