Summary
This website contacted 9 IPs in 2 countries across 4 domains to perform 61 HTTP transactions. The main domain is pipelinesportsnetwork.com and was registered NaN years ago.
Submitted URL: https://pipelinesportsnetwork.com/news/f/four-star-qb-landon-duckworth-commits-to-south-carolina
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears to be a legitimate news page.
Safety Factors
Details
Page Title
Four-Star QB Landon Duckworth Commits to South Carolina
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain name 'pipelinesportsnetwork.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'pipelinesportsnetwork' is 21 characters long split between seven vowels and 14 consonants. Word splitting yields three words: pipeline, sports, network. Average segment length settles at 7 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 |
|---|---|---|---|
| 42 | 104.126.37.25 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 76.223.105.230 | United States | AS16509AMAZON-02 |
| 6 | 2a02:26f0:7100:891::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 2a02:26f0:7100:8a5::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 13.248.243.5 | United States | AS16509AMAZON-02 |
| 3 | 23.67.132.85 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 198.71.248.123 | United States | AS400754GO-DADDY-COM-LLC |
| 61 | 9 | - | - |
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
Scan History
Scan history not available
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