Summary
This website contacted 146 IPs in 5 countries across 64 domains to perform 198 HTTP transactions. The main domain is 1390thegambler.iheart.com and was registered NaN years ago.
Submitted URL: https://1390thegambler.iheart.com/content/2025-11-24-bowling-green-vs-umass-nov-25-tv-stream/
The Cisco Umbrella rank of the primary domain is #9,915 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and is a legitimate sports content page.
Safety Factors
Details
Page Title
Bowling Green vs. UMass Nov. 25: TV, Stream | 1390 The Gambler
Scan Type
public
Language
English
Category
gambling betting
(77%)Domain Information
You're looking at domain '1390thegambler.iheart.com' on the commercial generic top-level domain (.com) with subdomain '1390thegambler'. The second-level label 'iheart' is 6 characters long split between three vowels and 3 consonants. Word splitting yields two words: i, heart. Median word length is three 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 |
|---|---|---|---|
| 49 | 146.75.122.193 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 24 | 146.75.122.84 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 11 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 7 | 162.247.243.29 | United States | AS54113FASTLY |
| 6 | 216.58.206.78 | United States | AS15169GOOGLE |
| 6 | 142.250.186.131 | United States | AS15169GOOGLE |
| 5 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 23.199.30.2 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 146.75.121.13 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 108.138.3.93 | United States | AS16509AMAZON-02 |
| 198 | 146 | - | - |
Detected Technologies1
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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