Summary
This website contacted 10 IPs in 1 country across 12 domains to perform 16 HTTP transactions. The main domain is med.emory.edu and was registered NaN years ago.
Submitted URL: https://eyecenter.emory.edu
Effective URL: https://med.emory.edu/departments/ophthalmology/index.htmlRedirected
The Cisco Umbrella rank of the primary domain is #39,823 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Emory University ophthalmology page with no security concerns.
Safety Factors
Details
Page Title
Department of Ophthalmology | Emory School of Medicine
Scan Type
public
Language
English
Category
education learning
(79%)Domain Information
Domain 'eyecenter.emory.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'eyecenter'. The second-level label 'emory' is 5 characters long holding 2 vowels versus 3 consonants. It segments into one word: emory. 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 |
|---|---|---|---|
| 12 | 142.251.208.174 | United States | |
| 7 | 172.67.75.33 | United States | AS13335Cloudflare, Inc. |
| 7 | 99.84.237.22 | United States | |
| 7 | 142.251.37.3 | United States | |
| 7 | 142.250.186.42 | United States | |
| 7 | 44.196.208.138 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 7 | 34.199.209.45 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 7 | 104.17.25.14 | United States | AS13335Cloudflare, Inc. |
| 7 | 162.159.128.61 | United States | Unknown |
| 7 | 20.121.104.90 | Washington, Virginia, United States | AS8075Microsoft Corporation |
| 75 | 10 | - | - |
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data