Summary
API
This website contacted 30 IPs in 2 countries across 17 domains to perform 219 HTTP transactions. The main domain is bikeeastbay.org and was registered 18 years ago.
Submitted URL: https://bikeeastbay.org/event/urban-cycling-101-day-1/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate Bike East Bay event page for a cycling workshop. Established domain, self-branded, no credential/payment forms or threat-intel matches.
Safety Factors (5)
Details
Page Title
Urban Cycling 101: Day 1 - Bike East Bay
Scan Type
public
Domain Name Analysis
The domain 'bikeeastbay.org' uses the non-profit oriented generic top-level domain (.org) and has no subdomain. The registrable portion 'bikeeastbay' spans 11 characters containing 5 vowels alongside 6 consonants. Segmentation suggests three words: bike, east, bay. The median word length lands at 4 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 |
|---|---|---|---|
| 16 | 104.21.86.117Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 7 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 7 | 3.174.46.14Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 7 | 20.209.68.129Azure · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 7 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 7 | 104.18.179.120Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 7 | 65.9.130.51Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 7 | 142.251.155.119Google · CDN | United States | AS15169Google LLC |
| 7 | 143.204.181.124Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 219 | 30 | - | - |
Detected Technologies16
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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