Summary
This website contacted 61 IPs in 2 countries across 17 domains to perform 78 HTTP transactions. The main domain is hamilton.edu and was registered NaN years ago.
Submitted URL: https://www.hamilton.edu/news/story/lin-manuel-miranda-great-names
Effective URL: https://www.hamilton.edu/news/stories/lin-manuel-miranda-great-namesRedirected
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Hamilton Creator, Original Star Lin-Manuel Miranda is Next Great Names Guest - News - Hamilton College
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'www.hamilton.edu' is registered, featuring subdomain 'www'. Count 8 characters in 'hamilton' containing three vowels alongside five consonants. Word splitting yields 1 word: hamilton. 'hamilton' most often appears in Sinhala. Usage also turns up in Afrikaans and Catalan contexts.
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 |
|---|---|---|---|
| 18 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 16.182.66.240 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 142.250.184.194 | United States | AS15169GOOGLE |
| 1 | 3.171.214.35 | United States | AS16509AMAZON-02 |
| 1 | 52.216.49.80 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 185.89.211.84 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 150.209.10.119 | Clinton, New York, United States | AS33434HAMILTON-COLLEGE |
| 1 | 16.15.218.1 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 78 | 61 | - | - |
Detected Technologies12
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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