Summary
This website contacted 3 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is fitness.39.net and was registered NaN years ago.
Submitted URL: https://fitness.39.net
AI Security Verdict
Moderate Risk
Confidence: 80%
Old health‑focused site with no phishing forms but linked to a malicious domain and hosted on an IP flagged as attacker, resulting in moderate risk.
Risk Factors
Safety Factors
Details
Page Title
39健康减肥_中国专业健康减肥网站
Scan Type
public
Language
Chinese
Category
healthcare medical
(86%)Domain Information
Within the network infrastructure generic top-level domain (.net), 'fitness.39.net' is registered, featuring subdomain 'fitness'. The core label '39' covers 2 characters holding 0 vowels versus zero consonants, plus two digits. Breaking it apart gives one word: 39. Median word length is 2 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 |
|---|---|---|---|
| 120 | 221.204.95.167 | China | AS4837CHINA UNICOM China169 Backbone |
| 119 | 115.231.220.253 | China | AS58461CT-HangZhou-IDC |
| 119 | 36.156.81.200 | China | AS56046China Mobile communications corporation |
| 358 | 3 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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