Summary
This website contacted 151 IPs in 6 countries across 46 domains to perform 156 HTTP transactions. The main domain is business.rice.edu and was registered NaN years ago.
Submitted URL: https://business.rice.edu/person/d-cal-mcnair
The Cisco Umbrella rank of the primary domain is #120,973 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university profile page with no security concerns.
Safety Factors
Details
Page Title
D. Cal McNair | The business school at Rice University (Rice Business)
Scan Type
public
Language
English
Category
education
(45%)Domain Information
The domain 'business.rice.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'business'. Its registrable label 'rice' stretches across 4 characters containing 2 vowels alongside two consonants. Breaking it apart gives 1 word: rice. Expect 4 characters per word on average. 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 |
|---|---|---|---|
| 6 | 23.55.161.151 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2.23.209.6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 2.23.209.53 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 91.228.74.244 | United Kingdom | AS16509AMAZON-02 |
| 1 | 2.23.209.42 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.58.206.74 | United States | AS15169GOOGLE |
| 1 | 172.66.144.150 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 156 | 151 | - | - |
Detected Technologies7
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