Summary
This website contacted 76 IPs in 4 countries across 20 domains to perform 70 HTTP transactions. The main domain is milkeninstitute.org and was registered NaN years ago.
Submitted URL: https://milkeninstitute.org/events/global-conference-2025/speakers/marc-rowan
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Marc Rowan | Milken Institute
Scan Type
public
Language
English
Category
healthcare medical
(88%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'milkeninstitute.org' is registered. The core label 'milkeninstitute' covers 15 characters with six vowels and nine consonants. Word splitting yields three words: milk, en, institute. Median word length comes out to four characters. The linguistic tilt is Norwegian for 'milk'. Secondary signals appear in Swedish and Danish. Overall, 'milkeninstitute.org' reads as Norwegian.
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 |
|---|---|---|---|
| 70 | 104.20.30.220 | United States | AS13335CLOUDFLARENET |
| 0 | 3.171.214.104 | United States | AS16509AMAZON-02 |
| 0 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 172.66.166.98 | United States | AS13335CLOUDFLARENET |
| 0 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 18.66.102.11 | United States | AS16509AMAZON-02 |
| 0 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 18.66.102.53 | United States | AS16509AMAZON-02 |
| 0 | 216.58.206.40 | United States | AS15169GOOGLE |
| 70 | 76 | - | - |
Detected Technologies17
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
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