Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is memorialhermann.org and was registered NaN years ago.
Submitted URL: https://mhhs.org
Effective URL: https://memorialhermann.org/Redirected
The Cisco Umbrella rank of the primary domain is #192,096 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 94%
The site appears to be the legitimate Memorial Hermann Health System website with no malicious indicators.
Safety Factors
Details
Page Title
Memorial Hermann Health System | Houston Hospitals, Institutes & Centers
Scan Type
public
Language
English
Category
healthcare medical
(72%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'mhhs.org' is registered with no subdomain. Count 4 characters in 'mhhs' with zero vowels and four consonants. Breaking it apart gives 2 words: m, hhs. Average segment length settles at two 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 |
|---|---|---|---|
| 66 | 198.22.24.36 | Houston, Texas, United States | AS54063Memorial Hermann Health System |
| 66 | 1 | - | - |
Page Statistics
Detected Technologies7
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