Summary
This website contacted 132 IPs in 3 countries across 34 domains to perform 127 HTTP transactions. The main domain is mountsinai.org and was registered NaN years ago.
Submitted URL: https://www.mountsinai.org/health-library/diseases-conditions/charcot-marie-tooth-disease
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate health information page from Mount Sinai.
Safety Factors
Details
Page Title
Charcot-Marie-Tooth disease Information | Mount Sinai - New York
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
The domain name 'www.mountsinai.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 10 characters in 'mountsinai' split between five vowels and 5 consonants. Segmentation suggests 2 words: mount, sinai. The median word length lands at five characters. The linguistic tilt is Tagalog for 'mount'. Secondary signals appear in Danish and German.
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 |
|---|---|---|---|
| 47 | 23.201.250.104 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 19 | 34.160.253.21 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 13.35.58.57 | United States | AS16509AMAZON-02 |
| 5 | 20.121.104.90 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 4 | 104.16.219.185 | United States | AS13335CLOUDFLARENET |
| 4 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 142.250.181.234 | United States | AS15169GOOGLE |
| 2 | 3.5.79.165 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 127 | 132 | - | - |
Detected Technologies19
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
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