Summary
This website contacted 63 IPs in 3 countries across 19 domains to perform 110 HTTP transactions. The main domain is bates.edu and was registered NaN years ago.
Submitted URL: https://www.bates.edu/museum/exhibitions/goldie-hawn-biography/
The Cisco Umbrella rank of the primary domain is #478,802 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate museum biography page with no security concerns.
Safety Factors
Details
Page Title
Goldie Hawn Biography | Museum of Art | Bates College
Scan Type
public
Language
English
Category
education
(45%)Domain Information
The domain 'www.bates.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Its registrable label 'bates' stretches across 5 characters with 2 vowels and three consonants. It segments into one word: bates. 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 |
|---|---|---|---|
| 68 | 134.181.132.44 | Lewiston, Maine, United States | AS17152BATES |
| 9 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 7 | 23.36.162.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.250.185.232 | United States | AS15169GOOGLE |
| 2 | 216.239.34.178 | United States | AS15169GOOGLE |
| 2 | 134.181.132.253 | Lewiston, Maine, United States | AS17152BATES |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 104.16.41.28 | United States | AS13335CLOUDFLARENET |
| 2 | 34.198.122.35 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 110 | 63 | - | - |
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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