Summary
This website contacted 151 IPs in 6 countries across 39 domains to perform 149 HTTP transactions. The main domain is theroyalobserver.com and was registered NaN years ago.
Submitted URL: https://www.theroyalobserver.com/t/prince-william
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news site with no apparent security threats.
Safety Factors
Details
Page Title
Prince William - Latest News, Stories & Details
Scan Type
public
Language
English
Category
social media network
(49%)Domain Information
You're looking at domain 'www.theroyalobserver.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 16 characters in 'theroyalobserver' containing 6 vowels alongside 10 consonants. Tokenizing the label suggests 3 words: the, royal, observer. Expect 5 characters per word on average. 'the' most often appears in English. You will also see it in Chinese (Pinyin) and Chinese (Zhuyin) contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 149 | 130.61.225.139 | Frankfurt am Main, Hesse, Germany | AS31898ORACLE-BMC-31898 |
| 0 | 34.254.107.247 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 0 | 52.223.6.21 | United States | AS16509AMAZON-02 |
| 0 | 3.171.211.217 | United States | AS16509AMAZON-02 |
| 0 | 104.18.26.193 | United States | AS13335CLOUDFLARENET |
| 0 | 185.89.210.212 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 0 | 54.93.58.176 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 34.200.22.193 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 35.158.140.254 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 69.173.144.137 | Frankfurt am Main, Hesse, Germany | AS26667RUBICONPROJECT |
| 149 | 151 | - | - |
Detected Technologies9
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
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