Summary
This website contacted 33 IPs in 3 countries across 12 domains to perform 43 HTTP transactions. The main domain is arts-sciences.buffalo.edu and was registered NaN years ago.
Submitted URL: https://arts-sciences.buffalo.edu/economics/about/what-is-economics.html
The Cisco Umbrella rank of the primary domain is #101,766 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
What is Economics? - Department of Economics - University at Buffalo
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Within the sponsored educational top-level domain (.edu), 'arts-sciences.buffalo.edu' is registered; it also runs on subdomain 'arts-sciences'. The second-level label 'buffalo' is 7 characters long split between three vowels and four consonants. Word splitting yields 1 word: buffalo. 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 |
|---|---|---|---|
| 15 | 23.50.131.140 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 142.250.185.168 | United States | AS15169GOOGLE |
| 7 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 23.32.238.219 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.50.131.132 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.184.228 | United States | AS15169GOOGLE |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 43 | 33 | - | - |
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
Scan History
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