Summary
This website contacted 16 IPs in 2 countries across 13 domains to perform 63 HTTP transactions. The main domain is nashunderground.com and was registered NaN years ago.
Submitted URL: https://www.nashunderground.com/events-calendar/newyearseve-peachbowl
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
New Year's Eve — Nashville Underground
Scan Type
public
Language
English
Category
gambling betting
(37%)Domain Information
Within the commercial generic top-level domain (.com), 'www.nashunderground.com' is registered with subdomain 'www'. Count 15 characters in 'nashunderground' split between five vowels and 10 consonants. Word splitting yields two words: nash, underground. Median word length comes out to 7.5 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 |
|---|---|---|---|
| 19 | 104.18.1.37 | United States | AS13335CLOUDFLARENET |
| 4 | 198.49.23.144 | United States | AS53831SQUARESPACE |
| 4 | 142.251.141.78 | United States | AS15169GOOGLE |
| 4 | 198.185.159.145 | United States | AS53831SQUARESPACE |
| 4 | 142.250.186.138 | United States | AS15169GOOGLE |
| 4 | 54.193.3.235 | San Jose, California, United States | AS16509AMAZON-02 |
| 4 | 23.50.131.216 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 54.193.188.76 | San Jose, California, United States | AS16509AMAZON-02 |
| 4 | 23.50.131.223 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 79 | 16 | - | - |
Detected Technologies12
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
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