Summary
This website contacted 54 IPs in 3 countries across 44 domains to perform 190 HTTP transactions. The main domain is daniels.du.edu and was registered NaN years ago.
Submitted URL: https://daniels.du.edu/directory/mark-levine/
The Cisco Umbrella rank of the primary domain is #223,273 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university staff page with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.
Page Title
Mark Levine | Daniels College of Business
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain 'daniels.du.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'daniels'. The registrable portion 'du' spans 2 characters with one vowel and one consonant. Splitting it apart reveals one word: du. The median word length lands at 2 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 |
|---|---|---|---|
| 41 | 172.64.154.248 | United States | AS13335CLOUDFLARENET |
| 3 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 3 | 172.64.150.250 | United States | AS13335CLOUDFLARENET |
| 3 | 108.138.7.33 | Unknown | |
| 3 | 2.18.64.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.251.140.164 | United States | AS15169GOOGLE |
| 3 | 104.18.14.11 | United States | AS13335CLOUDFLARENET |
| 3 | 3.171.214.38 | Unknown | |
| 3 | 142.250.186.168 | United States | AS15169GOOGLE |
| 3 | 216.239.34.36 | United States | AS15169GOOGLE |
| 200 | 54 | - | - |
Detected Technologies10
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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