Summary
This website contacted 9 IPs in 1 country across 9 domains to perform 2 HTTP transactions. The main domain is ecommnewsnetwork.com and was registered NaN years ago.
Submitted URL: https://www.ecommnewsnetwork.com/2026/07/24/3m-open-at-tpc-twin-cities/
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
3M Open at TPC Twin Cities. | E Communications
Scan Type
public
Language
Danish
Category
news
(30%)Domain Information
The domain name 'www.ecommnewsnetwork.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'ecommnewsnetwork' is 16 characters long with five vowels and 11 consonants. Tokenizing the label suggests 4 words: eco, mm, news, network. The median word length lands at 3.5 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 |
|---|---|---|---|
| 2 | 34.234.18.22Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 0 | 3.174.46.50Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 3.167.227.32Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 0 | 143.204.181.13Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 172.67.142.245Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 104.18.11.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 142.251.156.119Google · CDN | United States | AS15169Google LLC |
| 0 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 2 | 9 | - | - |
Detected Technologies2
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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