Summary
This website contacted 186 IPs in 6 countries across 81 domains to perform 387 HTTP transactions. The main domain is bicycling.com and was registered NaN years ago.
Submitted URL: https://www.bicycling.com/culture/a62157742/how-cycling-changed-me-alex-smith/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
How Cycling Changed Me - NFL Quarterback Alex Smith
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
The domain name 'www.bicycling.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'bicycling' stretches across 9 characters containing two vowels alongside 7 consonants. Splitting it apart reveals 1 word: bicycling. Median word length is 9 characters. The linguistic tilt is English for 'cycling'. You may catch it in Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 17 | 104.18.65.57 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.132 | United States | AS15169GOOGLE |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 18.244.18.38 | United States | AS16509AMAZON-02 |
| 2 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 34.160.5.59 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 37.252.171.53 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 2 | 3.78.168.176 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 2 | 146.75.120.155 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 51.195.73.71 | France | AS16276OVH SAS |
| 387 | 186 | - | - |
Detected Technologies14
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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