Summary
This website contacted 34 IPs in 1 country across 6 domains to perform 220 HTTP transactions. The main domain is detroitfootball.net and was registered NaN years ago.
Submitted URL: https://www.detroitfootball.net/p/michael-badgley-out-for-the-2024
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Michael Badgley out for the 2024 season; Lions exploring competition for Jake Bates
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
The domain name 'www.detroitfootball.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The second-level label 'detroitfootball' is 15 characters long with six vowels and 9 consonants. Tokenizing the label suggests two words: detroit, football. Median word length is 7.5 characters. 'detroit' most strongly signals English. You may catch it in Chinese (Pinyin) and French 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 |
|---|---|---|---|
| 22 | 104.18.37.200 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.186.163 | United States | AS15169GOOGLE |
| 6 | 65.9.66.123 | United States | AS16509AMAZON-02 |
| 6 | 172.64.151.232 | United States | AS13335CLOUDFLARENET |
| 6 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 6 | 65.9.66.47 | United States | AS16509AMAZON-02 |
| 6 | 172.64.150.56 | United States | AS13335CLOUDFLARENET |
| 6 | 65.9.66.32 | United States | AS16509AMAZON-02 |
| 6 | 104.18.36.24 | United States | AS13335CLOUDFLARENET |
| 6 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 220 | 34 | - | - |
Detected Technologies8
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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