Summary
This website contacted 75 IPs in 3 countries across 24 domains to perform 67 HTTP transactions. The main domain is hampshire.edu and was registered NaN years ago.
Submitted URL: https://www.hampshire.edu/academics/faculty/rebecca-miller
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate faculty profile with no security concerns.
Safety Factors
Details
Page Title
Rebecca Miller | Hampshire College
Scan Type
public
Language
English
Category
education
(45%)Domain Information
You're looking at domain 'www.hampshire.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'www'. The registrable portion 'hampshire' spans 9 characters with 3 vowels and 6 consonants. It segments into one word: hampshire. The linguistic tilt is Vietnamese for 'hampshire'. Usage also turns up in Catalan and Czech contexts.
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 |
|---|---|---|---|
| 67 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 0 | 23.216.77.50 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 3.212.2.116 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 0 | 192.33.12.201 | United States | AS396086HAMPSHIRE-CAMP |
| 0 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 216.58.206.72 | United States | AS15169GOOGLE |
| 0 | 104.20.20.192 | United States | AS13335CLOUDFLARENET |
| 0 | 92.123.104.161 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 92.123.104.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 34.107.218.251 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 67 | 75 | - | - |
Detected Technologies16
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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