Summary
API
This website contacted 2 IPs in 1 country across 5 domains to perform 43 HTTP transactions. The main domain is registries.ncats.nih.gov and was registered 29 years ago.
Submitted URL: https://registries.ncats.nih.gov/glossary/u-s-food-and-drug-administration/
The Cisco Umbrella rank of the primary domain is #10,460 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 94%
Low risk informational page; brand name appears in meta tags but no malicious activity detected.
Risk Factors (1)
Safety Factors (4)
Details
Page Title
U.S. Food and Drug Administration
Scan Type
public
Domain Name Analysis
The domain 'registries.ncats.nih.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'registries.ncats'. Count 3 characters in 'nih' containing 1 vowel alongside 2 consonants. It segments into 1 word: nih. Median word length is three 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 |
|---|---|---|---|
| 22 | 128.231.19.108 | Bethesda, Maryland, United States | AS3527National Institutes of Health |
| 21 | 142.251.14.97 | United States | AS15169Google LLC |
| 43 | 2 | - | - |
Detected Technologies11
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