Summary
This website contacted 33 IPs in 2 countries across 8 domains to perform 91 HTTP transactions. The main domain is morrisarboretum.org and was registered NaN years ago.
Submitted URL: https://www.morrisarboretum.org/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Morris Arboretum & Gardens
Scan Type
public
Language
English
Category
forum
(40%)Domain Information
Domain 'www.morrisarboretum.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Its registrable label 'morrisarboretum' stretches across 15 characters with six vowels and 9 consonants. It segments into 2 words: morris, arboretum. Median word length is 7.5 characters. 'morris' is most common in Breton usage. It also appears in Catalan and Danish contexts. Net impression: Breton phrase.
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 |
|---|---|---|---|
| 27 | 99.84.152.48 | United States | AS16509AMAZON-02 |
| 2 | 99.84.152.118 | United States | AS16509AMAZON-02 |
| 2 | 99.84.152.32 | United States | AS16509AMAZON-02 |
| 2 | 142.251.140.168 | United States | AS15169GOOGLE |
| 2 | 52.44.73.183 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 23.50.131.223 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.50.131.207 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.185.0.4 | United States | AS54113FASTLY |
| 2 | 23.50.131.216 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 91 | 33 | - | - |
Detected Technologies11
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
Unable to load historical scan data