Summary
This website contacted 70 IPs in 3 countries across 13 domains to perform 77 HTTP transactions. The main domain is nih.gov and was registered NaN years ago.
Submitted URL: https://www.nih.gov/
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 NIH site with no security concerns.
Safety Factors
Details
Page Title
National Institutes of Health (NIH) |
Scan Type
public
Language
English
Category
healthcare medical
(67%)Domain Information
You're looking at domain 'www.nih.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Its registrable label 'nih' stretches across 3 characters split between one vowel and 2 consonants. Word splitting yields 1 word: nih. Median word length is three characters. 'nih' is most common in Indonesian usage. You may catch it in Malay and Polish as well. Net impression: Indonesian phrase 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 |
|---|---|---|---|
| 8 | 34.255.36.8 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 2.17.100.193 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.19.147.8 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 18.66.147.23 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.174 | United States | AS15169GOOGLE |
| 1 | 2.17.100.225 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 13.33.187.40 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 104.19.148.8 | United States | AS13335CLOUDFLARENET |
| 77 | 70 | - | - |
Detected Technologies8
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
Scan History
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