Summary
This website contacted 22 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is ivf.net and was registered NaN years ago.
Submitted URL: https://www.ivf.net/
AI Security Verdict
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
IVF.net | Fertility News, IVF Jobs and Embryology
Scan Type
public
Language
English
Category
adult content
(42%)Domain Information
You're looking at domain 'www.ivf.net' on the network infrastructure generic top-level domain (.net) with subdomain 'www'. The core label 'ivf' covers 3 characters holding 1 vowel versus two consonants. Tokenizing the label suggests one word: ivf. Median word length comes out to 3 characters. 'ivf' is most common in English usage. Usage also turns up in Indonesian and Dutch contexts.
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 |
|---|---|---|---|
| 10 | 172.67.69.104 | United States | AS13335CLOUDFLARENET |
| 0 | 108.138.2.34 | United States | AS16509AMAZON-02 |
| 0 | 108.138.2.142 | United States | AS16509AMAZON-02 |
| 0 | 104.26.6.175 | United States | AS13335CLOUDFLARENET |
| 0 | 104.26.7.175 | United States | AS13335CLOUDFLARENET |
| 0 | 216.58.206.67 | United States | AS15169GOOGLE |
| 0 | 172.217.18.10 | United States | AS15169GOOGLE |
| 0 | 2606:4700:20::681a:7af | United States | AS13335CLOUDFLARENET |
| 0 | 2a00:1450:4001:811::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 2600:9000:2490:d400:5:acf3:db40:21 | United States | AS16509AMAZON-02 |
| 10 | 22 | - | - |
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