Summary
This website contacted 123 IPs in 5 countries across 29 domains to perform 256 HTTP transactions. The main domain is jfkhyannismuseum.org and was registered NaN years ago.
Submitted URL: https://jfkhyannismuseum.org/john-f-kennedy/
AI Security Verdict
Low Risk
Confidence: 85%
Site appears legitimate but the exposed login form is a minor security concern.
Risk Factors
Safety Factors
Details
Page Title
John "Jack" Fitzgerald Kennedy (JFK) | JFK Hyannis Museum
Scan Type
public
Language
English
Category
social media network
(87%)Domain Information
You're looking at domain 'jfkhyannismuseum.org' on the non-profit oriented generic top-level domain (.org) and has no subdomain. The second-level label 'jfkhyannismuseum' is 16 characters long split between five vowels and eleven consonants. Tokenizing the label suggests three words: jfk, hyannis, museum. Median word length comes out to 6 characters. 'jfk' most often appears in English. Secondary signals appear in Dutch and Chinese (Pinyin). Taken together, it feels English.
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 |
|---|---|---|---|
| 173 | 66.39.24.50 | United States | AS7859PAIR-NETWORKS |
| 12 | 142.250.185.234 | United States | AS15169GOOGLE |
| 10 | 142.250.185.227 | United States | AS15169GOOGLE |
| 10 | 65.21.110.156 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 8 | 34.120.195.249 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 7 | 143.204.214.134 | United States | AS16509AMAZON-02 |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 54.241.229.86 | San Jose, California, United States | AS16509AMAZON-02 |
| 4 | 142.251.140.168 | United States | AS15169GOOGLE |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 256 | 123 | - | - |
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
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