Summary
This website contacted 76 IPs in 3 countries across 15 domains to perform 70 HTTP transactions. The main domain is healthmatters.nyp.org and was registered NaN years ago.
Submitted URL: https://healthmatters.nyp.org/understanding-how-blood-pressure-is-linked-to-heart-health/
The Cisco Umbrella rank of the primary domain is #141,695 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate health information site with no security concerns.
Safety Factors
Details
Page Title
Understanding How Blood Pressure and Cholesterol Are Linked to Heart Health
Scan Type
public
Language
English
Category
healthcare medical
(53%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'healthmatters.nyp.org' is registered; it also runs on subdomain 'healthmatters'. The core label 'nyp' covers 3 characters split between zero vowels and three consonants. Splitting it apart reveals 2 words: ny, p. Median word length is 1.5 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 |
|---|---|---|---|
| 38 | 13.32.99.85 | New York, New York, United States | AS16509AMAZON-02 |
| 10 | 20.121.104.90 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 142.250.186.170 | United States | AS15169GOOGLE |
| 2 | 162.247.243.29 | United States | AS54113FASTLY |
| 2 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 23.55.48.162 | Palermo, Sicily, Italy | AS20940Akamai International B.V. |
| 2 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 2 | 128.245.81.186 | United States | AS14340SALESFORCE |
| 2 | 142.250.186.110 | United States | AS15169GOOGLE |
| 70 | 76 | - | - |
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
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