Summary
This website contacted 26 IPs in 1 country across 8 domains to perform 50 HTTP transactions. The main domain is ncbi.nlm.nih.gov.
Submitted URL: https://www.ncbi.nlm.nih.gov/books/NBK559192/
The Cisco Umbrella rank of the primary domain is #13,157 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate government resource with no security concerns.
Safety Factors
Details
Page Title
Medroxyprogesterone - StatPearls - NCBI Bookshelf
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'www.ncbi.nlm.nih.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www.ncbi.nlm'. Its registrable label 'nih' stretches across 3 characters with 1 vowel and two consonants. Breaking it apart gives 1 word: nih. Median word length comes out to 3 characters. 'nih' most strongly signals Indonesian. You will also see it in Malay and Polish contexts. Overall, 'www.ncbi.nlm.nih.gov' reads as Indonesian with single-word simplicity.
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 |
|---|---|---|---|
| 25 | 130.14.29.109 | Bethesda, Maryland, United States | AS70NLM-GW |
| 1 | 34.110.206.50 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 104.17.208.240 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 104.17.209.240 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.206.72 | United States | AS15169GOOGLE |
| 1 | 130.14.29.110 | Bethesda, Maryland, United States | AS70NLM-GW |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 13.32.27.21 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 2600:9000:211e:4400:5:83ea:ba80:93a1 | United States | Unknown |
| 50 | 26 | - | - |
Detected Technologies5
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
Scan history not available
Unable to load historical scan data