Summary
This website contacted 25 IPs in 2 countries across 8 domains to perform 59 HTTP transactions. The main domain is pmc.ncbi.nlm.nih.gov.
Submitted URL: https://pmc.ncbi.nlm.nih.gov/articles/PMC1936357/
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate NIH article with no security concerns.
Safety Factors
Details
Page Title
In vitro fertilization (IVF): a review of 3 decades of clinical innovation and technological advancement - PMC
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'pmc.ncbi.nlm.nih.gov' is registered, featuring subdomain 'pmc.ncbi.nlm'. The second-level label 'nih' is 3 characters long holding 1 vowel versus two consonants. Breaking it apart gives 1 word: nih. Most frequently, 'nih' shows up in Indonesian. Secondary signals appear in Malay and Polish.
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 |
|---|---|---|---|
| 11 | 142.250.186.168 | United States | AS15169GOOGLE |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 69.192.160.116 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 34.107.134.59 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 99.84.152.92 | United States | AS16509AMAZON-02 |
| 2 | 104.17.209.240 | United States | AS13335CLOUDFLARENET |
| 2 | 34.110.206.50 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 104.17.208.240 | United States | AS13335CLOUDFLARENET |
| 2 | 2600:1901:0:9c20:: | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 2600:9000:20e8:de00:5:83ea:ba80:93a1 | United States | AS16509AMAZON-02 |
| 59 | 25 | - | - |
Detected Technologies10
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
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