Summary
This website contacted 65 IPs in 6 countries across 23 domains to perform 73 HTTP transactions. The main domain is freeman.tulane.edu and was registered NaN years ago.
Submitted URL: https://freeman.tulane.edu/faculty-research/management/michael-wilson
The Cisco Umbrella rank of the primary domain is #155,242 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate university faculty profile with no security concerns.
Safety Factors
Details
Page Title
Michael Wilson
Scan Type
public
Language
English
Category
download file sharing
(54%)Domain Information
Within the sponsored educational top-level domain (.edu), 'freeman.tulane.edu' is registered; it also runs on subdomain 'freeman'. The second-level label 'tulane' is 6 characters long containing three vowels alongside 3 consonants. It segments into one word: tulane. 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 |
|---|---|---|---|
| 18 | 23.185.0.3 | United States | AS54113FASTLY |
| 9 | 216.239.32.36 | United States | AS15169GOOGLE |
| 9 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 142.251.140.168 | United States | AS15169GOOGLE |
| 5 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 172.67.139.119 | United States | AS13335CLOUDFLARENET |
| 4 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 73 | 65 | - | - |
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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