Summary
This website contacted 35 IPs in 2 countries across 8 domains to perform 44 HTTP transactions. The main domain is hr.cornell.edu and was registered NaN years ago.
Submitted URL: https://hr.cornell.edu/home
Effective URL: https://hr.cornell.edu/Redirected
The Cisco Umbrella rank of the primary domain is #525 of the top 1 million websitesTop 1K Site
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate Cornell HR site with no security concerns.
Safety Factors
Details
Page Title
Home | Working at Cornell
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Within the sponsored educational top-level domain (.edu), 'hr.cornell.edu' is registered with subdomain 'hr'. The core label 'cornell' covers 7 characters split between two vowels and 5 consonants. Breaking it apart gives one word: cornell. 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 |
|---|---|---|---|
| 24 | 23.185.0.4 | United States | AS54113FASTLY |
| 8 | 138.199.37.231 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 7 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 99.84.152.48 | United States | AS16509AMAZON-02 |
| 1 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 3.212.194.40 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 35.186.235.23 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 3.234.43.249 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 44 | 35 | - | - |
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
Scan History
Scan history not available
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