Summary
This website contacted 40 IPs in 4 countries across 13 domains to perform 56 HTTP transactions. The main domain is calendar.web.baylor.edu and was registered NaN years ago.
Submitted URL: https://calendar.web.baylor.edu/event/2026/1544782
The Cisco Umbrella rank of the primary domain is #194,551 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Baylor University calendar event page with no security concerns.
Safety Factors
Details
Website Access Blocked
This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.
Page Title
Just a moment...
Scan Type
public
Language
English
Category
download file sharing
(91%)Domain Information
You're looking at domain 'calendar.web.baylor.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'calendar.web'. The core label 'baylor' covers 6 characters with two vowels and four consonants. Segmentation suggests 1 word: baylor. Expect 6 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 |
|---|---|---|---|
| 19 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 13 | 104.16.62.32 | United States | AS13335CLOUDFLARENET |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 216.58.206.72 | United States | AS15169GOOGLE |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 142.250.185.132 | United States | AS15169GOOGLE |
| 1 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.181.227 | United States | AS15169GOOGLE |
| 56 | 40 | - | - |
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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