Summary
This website contacted 6 IPs in 1 country across 6 domains to perform 2 HTTP transactions. The main domain is exhibits.library.cornell.edu and was registered NaN years ago.
Submitted URL: https://exhibits.library.cornell.edu/arachnophilia/feature/what-are-spiders
The Cisco Umbrella rank of the primary domain is #525 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Cornell University Library exhibition page with no malicious indicators.
Safety Factors
Details
Page Title
What are Spiders? | Arachnophilia - Online exhibitions across Cornell University Library
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain name 'exhibits.library.cornell.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'exhibits.library'. Its registrable label 'cornell' stretches across 7 characters holding two vowels versus 5 consonants. Breaking it apart gives one word: cornell. Average segment length settles at seven 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 |
|---|---|---|---|
| 5 | 104.17.24.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 98.85.124.95Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 3 | 104.18.1.22Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 52.216.218.153Aws · CLOUD | Ashburn, Virginia, United States | AS16509Amazon.com, Inc. |
| 3 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 3 | 151.101.129.155Fastly · CDN | United States | AS54113Fastly, Inc. |
| 20 | 6 | - | - |
Detected Technologies10
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data