Summary
This website contacted 19 IPs in 3 countries across 16 domains to perform 83 HTTP transactions. The main domain is hortidaily.com and was registered NaN years ago.
Submitted URL: https://www.hortidaily.com/article/9798178/kim-jong-un-inspects-greenhouse-farm-construction-site-in-1st-field-guidance-of-2026/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news page with no security concerns.
Safety Factors
Details
Page Title
Kim Jong-Un inspects greenhouse farm construction site in 1st 'field guidance' of 2026
Scan Type
public
Language
English
Category
documentation technical
(87%)Domain Information
The domain name 'www.hortidaily.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'hortidaily' stretches across 10 characters holding 4 vowels versus 6 consonants. Splitting it apart reveals three words: hort, i, daily. Average segment length settles at four 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 |
|---|---|---|---|
| 23 | 54.197.98.98 | United States | |
| 8 | 107.20.147.136 | Germany | |
| 8 | 104.26.1.81 | Netherlands | |
| 8 | 216.58.212.131 | Unknown | |
| 8 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 8 | 104.26.7.159 | Unknown | Unknown |
| 8 | 20.60.251.193 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 8 | 34.202.151.107 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 167 | 19 | - | - |
Detected Technologies11
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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