Summary
This website contacted 27 IPs in 3 countries across 22 domains to perform 75 HTTP transactions. The main domain is paulsmiths.edu and was registered NaN years ago.
Submitted URL: https://www.paulsmiths.edu/news/paul-smiths-college-receives-nearly-1-million-grant-to-launch-troops-to-timber-workforce-initiative/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news page from Paul Smith's College
Safety Factors
Details
Page Title
Paul Smith’s College Receives Nearly $1 Million Grant to Launch Troops to Timber Workforce Initiative - Paul Smith's College
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
The domain name 'www.paulsmiths.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. The core label 'paulsmiths' covers 10 characters with three vowels and seven consonants. Breaking it apart gives two words: paul, smiths. Expect 5 characters per word on average. 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 |
|---|---|---|---|
| 23 | 23.50.131.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 98.98.135.24 | Amsterdam, North Holland, Netherlands | AS21859ZEN-ECN |
| 2 | 142.250.185.232 | United States | AS15169GOOGLE |
| 2 | 142.250.184.198 | United States | AS15169GOOGLE |
| 2 | 23.21.117.75 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 98.86.6.13 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.185.238 | United States | AS15169GOOGLE |
| 2 | 141.193.213.10 | United States | AS209242Cloudflare London, LLC |
| 2 | 184.86.103.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 75 | 27 | - | - |
Detected Technologies10
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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