Summary
This website contacted 83 IPs in 3 countries across 24 domains to perform 189 HTTP transactions. The main domain is dillard.edu and was registered NaN years ago.
Submitted URL: https://www.dillard.edu/du-news/dillard-receives-record-donation/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university news page with no security concerns.
Safety Factors
Details
Page Title
Dillard Receives $19 Million Gift from the MacKenzie Scott Foundation
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'www.dillard.edu' is registered and includes subdomain 'www'. The core label 'dillard' covers 7 characters with two vowels and 5 consonants. Breaking it apart gives two words: dill, ard. Expect 3.5 characters per word on average. 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 |
|---|---|---|---|
| 115 | 141.193.213.10 | United States | AS209242Cloudflare London, LLC |
| 7 | 18.66.122.13 | United States | AS16509AMAZON-02 |
| 7 | 142.250.185.200 | United States | AS15169GOOGLE |
| 7 | 216.239.32.36 | United States | AS15169GOOGLE |
| 7 | 44.208.113.172 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 99.84.152.66 | United States | AS16509AMAZON-02 |
| 5 | 104.196.185.174 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 34.192.241.234 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 18.66.122.87 | United States | AS16509AMAZON-02 |
| 189 | 83 | - | - |
Detected Technologies11
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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