Summary
This website contacted 19 IPs in 3 countries across 6 domains to perform 81 HTTP transactions. The main domain is hkpj.org and was registered NaN years ago.
Submitted URL: https://hkpj.org/en/blog-detail.php?id=71
AI Security Verdict
Low Risk
Confidence: 85%
The site shows a login form with a hidden password field but is otherwise a well‑established journal site; low risk overall.
Risk Factors
Safety Factors
Details
Page Title
Overview of Health Supplement Regulations in Hong Kong: A Comparison with Drug Regulations
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'hkpj.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The second-level label 'hkpj' is 4 characters long split between zero vowels and 4 consonants. Segmentation suggests two words: hk, pj. Median word length is 2 characters. 'hk' is most common in Vietnamese usage. You may catch it in Chinese (Pinyin) and English as well.
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 |
|---|---|---|---|
| 60 | 116.251.205.70 | Hong Kong | AS8739ICDSoft Ltd. |
| 15 | 172.66.171.172 | United States | AS13335CLOUDFLARENET |
| 4 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.181.234 | United States | AS15169GOOGLE |
| 4 | 216.58.206.40 | United States | AS15169GOOGLE |
| 4 | 104.20.20.192 | United States | AS13335CLOUDFLARENET |
| 4 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 2606:4700:10::ac42:abac | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:811::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 81 | 19 | - | - |
Detected Technologies7
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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