Summary
This website contacted 27 IPs in 2 countries across 8 domains to perform 61 HTTP transactions. The main domain is seismo.berkeley.edu and was registered NaN years ago.
Submitted URL: https://seismo.berkeley.edu/seismo.real.time.map.html
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university site with no security concerns.
Safety Factors
Details
Page Title
Interactive Map
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'seismo.berkeley.edu' is registered; it also runs on subdomain 'seismo'. Count 8 characters in 'berkeley' split between three vowels and five consonants. Splitting it apart reveals 1 word: berkeley. Median word length comes out to 8 characters. Most frequently, 'berkeley' shows up in Icelandic. It also appears in Sinhala and Vietnamese contexts. Net impression: Icelandic phrase 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 |
|---|---|---|---|
| 9 | 169.229.197.65 | Oakland, California, United States | AS25UCB |
| 2 | 142.250.185.195 | United States | AS15169GOOGLE |
| 2 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 184.24.77.141 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 142.250.184.200 | United States | AS15169GOOGLE |
| 2 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 216.58.206.42 | United States | AS15169GOOGLE |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 61 | 27 | - | - |
Detected Technologies9
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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