Summary
This website contacted 7 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is consent.richmond.edu and was registered 30 years ago.
Submitted URL: https://activities.richmond.edu
Effective URL: https://consent.richmond.edu/?url=http%3A%2F%2Factivities.richmond.edu%2FRedirected
The Cisco Umbrella rank of the primary domain is #81,931 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate university privacy policy page with no malicious indicators.
Safety Factors
Details
Page Title
Privacy Policy - Consent - University of Richmond
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Domain 'activities.richmond.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'activities'. Its registrable label 'richmond' stretches across 8 characters split between 2 vowels and six consonants. Tokenizing the label suggests one word: richmond. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 4 | 18.64.16.179Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 99.84.149.83Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 18.64.16.123Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 99.84.149.163Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 23.201.249.194 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 1 | 141.166.35.106 | Richmond, Virginia, United States | AS20105University of Richmond |
| 1 | 99.84.149.158Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 7 | - | - |
Page Statistics
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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