Summary
This website contacted 148 IPs in 3 countries across 27 domains to perform 251 HTTP transactions. The main domain is macfound.org and was registered NaN years ago.
Submitted URL: https://www.macfound.org/fellows/class-of-2015/lin-manuel-miranda
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns; the site appears legitimate.
Safety Factors
Details
Page Title
Lin-Manuel Miranda - MacArthur Foundation
Scan Type
public
Language
English
Category
government public service
(71%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'www.macfound.org' is registered; it also runs on subdomain 'www'. The core label 'macfound' covers 8 characters split between 3 vowels and five consonants. It segments into 2 words: mac, found. Average segment length settles at 4 characters. 'mac' most strongly signals English. You may catch it in Chinese (Pinyin) and Sinhala as well.
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 |
|---|---|---|---|
| 157 | 172.66.134.198 | United States | AS13335CLOUDFLARENET |
| 104 | 34.202.10.139 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 11 | 172.64.151.166 | United States | AS13335CLOUDFLARENET |
| 9 | 18.66.147.23 | United States | AS16509AMAZON-02 |
| 8 | 216.58.206.46 | United States | AS15169GOOGLE |
| 8 | 142.250.186.163 | United States | AS15169GOOGLE |
| 7 | 142.250.186.42 | United States | AS15169GOOGLE |
| 5 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 251 | 148 | - | - |
Detected Technologies14
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
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