Summary
This website contacted 156 IPs in 5 countries across 42 domains to perform 329 HTTP transactions. The main domain is gocards.com and was registered NaN years ago.
Submitted URL: https://gocards.com/news/2025/10/4/mens-soccer-louisville-falls-to-unc-1-0
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university athletics page with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.
Page Title
Louisville Falls to UNC, 1-0 - University of Louisville Athletic
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
The domain name 'gocards.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 7 characters in 'gocards' holding two vowels versus 5 consonants. It segments into two words: go, cards. Average segment length settles at 3.5 characters. 'go' is most common in Chinese (Pinyin) usage. You may catch it in English and Chinese (Zhuyin) as well. Overall, 'gocards.com' reads as Chinese (Pinyin).
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 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 216.239.38.178 | United States | AS15169GOOGLE |
| 2 | 162.19.138.117 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 2 | 79.127.227.46 | Amsterdam, North Holland, Netherlands | AS60068Datacamp Limited |
| 2 | 172.64.147.18 | United States | AS13335CLOUDFLARENET |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 18.66.122.103 | United States | AS16509AMAZON-02 |
| 2 | 216.239.32.178 | United States | AS15169GOOGLE |
| 2 | 162.19.138.116 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 2 | 54.192.87.70 | United States | AS16509AMAZON-02 |
| 329 | 156 | - | - |
Detected Technologies5
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