Summary
This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is scholarworks.smith.edu and was registered NaN years ago.
Submitted URL: https://scholarworks.smith.edu/cgi/viewcontent.cgi?article=1013&context=eng_facpubs
The Cisco Umbrella rank of the primary domain is #385,829 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is an established academic repository with no malicious indicators.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'scholarworks.smith.edu' is registered, featuring subdomain 'scholarworks'. Its registrable label 'smith' stretches across 5 characters with one vowel and 4 consonants. It segments into one word: smith. Average segment length settles at five characters. 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 |
|---|---|---|---|
| 20 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 18 | 143.204.181.62Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 18 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 18 | 50.18.241.247Aws · CLOUD | San Jose, California, United States | AS16509Amazon.com, Inc. |
| 18 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 92 | 5 | - | - |
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
Scan History
Scan history not available
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