Summary
This website contacted 78 IPs in 5 countries across 23 domains to perform 80 HTTP transactions. The main domain is ilr.cornell.edu.
Submitted URL: https://www.ilr.cornell.edu/news/alumni/randi-weingarten-80-book-talk-slated-nyc-office
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate Cornell University news article with no security concerns.
Safety Factors
Details
Page Title
Randi Weingarten ’80 Book Talk Slated for NYC Office | The ILR School
Scan Type
public
Language
English
Category
education learning
(56%)Domain Information
The domain name 'www.ilr.cornell.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www.ilr'. The core label 'cornell' covers 7 characters holding two vowels versus 5 consonants. It segments into 1 word: cornell. Median word length comes out to 7 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 |
|---|---|---|---|
| 3 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 142.250.184.232 | United States | AS15169GOOGLE |
| 1 | 52.7.11.40 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 2.21.20.155 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 34.206.93.136 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 142.250.185.78 | United States | AS15169GOOGLE |
| 1 | 52.223.40.198 | United States | AS16509AMAZON-02 |
| 1 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 80 | 78 | - | - |
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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