Summary
This website contacted 99 IPs in 4 countries across 69 domains to perform 295 HTTP transactions. The main domain is humnutrition.com and was registered NaN years ago.
Submitted URL: https://humnutrition.com
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no detectable security threats.
Safety Factors
Details
Page Title
HUM Nutrition | Vitamins for Skin, Body & Mood
Scan Type
public
Language
English
Category
healthcare medical
(75%)Domain Information
You're looking at domain 'humnutrition.com' on the commercial generic top-level domain (.com). Count 12 characters in 'humnutrition' containing five vowels alongside seven consonants. Tokenizing the label suggests 2 words: hum, nutrition. The median word length lands at six 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 |
|---|---|---|---|
| 103 | 104.20.45.12 | United States | AS13335CLOUDFLARENET |
| 47 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 15 | 34.149.250.58 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 172.66.163.197 | United States | AS13335CLOUDFLARENET |
| 7 | 23.3.88.18 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 52.72.119.204 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 23.32.238.235 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 13.33.52.91 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 99 | - | - |
Detected Technologies4
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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