Summary
This website contacted 54 IPs in 2 countries across 12 domains to perform 175 HTTP transactions. The main domain is robinhood.org and was registered NaN years ago.
Submitted URL: https://robinhood.org/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with minimal risk.
Safety Factors
Details
Page Title
Home - Robin Hood
Scan Type
public
Language
English
Category
technology software
(29%)Domain Information
The domain 'robinhood.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The second-level label 'robinhood' is 9 characters long holding four vowels versus 5 consonants. Tokenizing the label suggests 2 words: robin, hood. Average segment length settles at 4.5 characters. 'robin' most strongly signals Catalan. It also appears in Chinese (Pinyin) and Danish 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 |
|---|---|---|---|
| 16 | 142.250.184.196 | United States | AS15169GOOGLE |
| 3 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 3 | 34.198.252.176 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 184.24.77.20 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 54.88.144.222 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.250.185.78 | United States | AS15169GOOGLE |
| 3 | 216.58.206.67 | United States | AS15169GOOGLE |
| 3 | 162.159.138.60 | United States | AS13335CLOUDFLARENET |
| 3 | 23.56.205.206 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 175 | 54 | - | - |
Detected Technologies16
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