Summary
This website contacted 45 IPs in 2 countries across 8 domains to perform 59 HTTP transactions. The main domain is engage.gettysburg.edu and was registered NaN years ago.
Submitted URL: https://engage.gettysburg.edu/GSRC/rsvp?id=2273022
Effective URL: https://engage.gettysburg.edu/gsrc/rsvp_boot?id=2273022Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university event page with no security concerns.
Safety Factors
Details
Page Title
National Coming Out Day 2025 - Gender And Sexuality Resource Center
Scan Type
public
Language
English
Category
education
(45%)Domain Information
The domain 'engage.gettysburg.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'engage'. The core label 'gettysburg' covers 10 characters containing 2 vowels alongside 8 consonants. It segments into 1 word: gettysburg. The linguistic tilt is Vietnamese for 'gettysburg'. It also appears in Catalan and Danish contexts. Overall, 'engage.gettysburg.edu' reads as Vietnamese with single-word simplicity.
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 |
|---|---|---|---|
| 15 | 54.157.224.160 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 104.26.4.78 | United States | AS13335CLOUDFLARENET |
| 1 | 98.85.16.255 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 216.58.206.78 | United States | AS15169GOOGLE |
| 1 | 142.250.185.136 | United States | AS15169GOOGLE |
| 1 | 104.26.5.78 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.68.253 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.181.238 | United States | AS15169GOOGLE |
| 1 | 142.250.185.164 | United States | AS15169GOOGLE |
| 1 | 142.250.185.74 | United States | AS15169GOOGLE |
| 59 | 45 | - | - |
Detected Technologies4
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
Unable to load historical scan data