Summary
This website contacted 74 IPs in 2 countries across 15 domains to perform 93 HTTP transactions. The main domain is medicine.yale.edu and was registered NaN years ago.
Submitted URL: https://medicine.yale.edu/profile/rebecca-miller/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Yale faculty profile with no security concerns.
Safety Factors
Details
Page Title
Rebecca Miller, PhD < Yale School of Medicine
Scan Type
public
Language
English
Category
healthcare medical
(58%)Domain Information
The domain 'medicine.yale.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'medicine'. Count 4 characters in 'yale' containing 2 vowels alongside 2 consonants. Tokenizing the label suggests one word: yale. 'yale' is most common in Breton usage. Usage also turns up in German and English contexts. Overall, 'medicine.yale.edu' reads as Breton with single-word simplicity.
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 |
|---|---|---|---|
| 20 | 143.204.98.72 | United States | AS16509AMAZON-02 |
| 1 | 184.24.77.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.35.236.237 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 65.9.66.11 | United States | AS16509AMAZON-02 |
| 1 | 108.138.7.29 | United States | AS16509AMAZON-02 |
| 1 | 135.224.13.153 | Chicago, Illinois, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 4.242.218.164 | Phoenix, Arizona, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 108.138.7.61 | United States | AS16509AMAZON-02 |
| 1 | 108.138.7.27 | United States | AS16509AMAZON-02 |
| 1 | 172.66.151.121 | United States | AS13335CLOUDFLARENET |
| 93 | 74 | - | - |
Detected Technologies6
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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