Summary
API
This website contacted 8 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is consent.richmond.edu and was registered 18 years ago.
Submitted URL: https://belonging.richmond.edu/initiatives/icc/members.html
Effective URL:
The Cisco Umbrella rank of the primary domain is #81,931 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate University of Richmond privacy/cookie consent page on its own established .edu domain. No forms, no impersonation, no threat-intel or malware indicators.
Safety Factors (5)
Details
Page Title
Privacy Policy - Consent - University of Richmond
Scan Type
public
Domain Name Analysis
Within the sponsored educational top-level domain (.edu), 'belonging.richmond.edu' is registered; it also runs on subdomain 'belonging'. Its registrable label 'richmond' stretches across 8 characters containing 2 vowels alongside 6 consonants. Segmentation suggests one word: richmond. Median word length is eight characters. 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 |
|---|---|---|---|
| 3 | 141.166.35.106 | Richmond, Virginia, United States | AS20105University of Richmond |
| 1 | 23.67.128.30Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 1 | 18.64.16.179Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 99.84.149.158Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 18.64.16.67Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 99.84.149.83Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 99.84.149.7Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 1 | 99.84.149.163Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 10 | 8 | - | - |
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