Summary
This website contacted 14 IPs in 2 countries across 19 domains to perform 2 HTTP transactions. The main domain is aeronewsjournal.com and was registered NaN years ago.
Submitted URL: https://www.aeronewsjournal.com/2025/09/dfw-airport-ground-stop-systems-failure.html
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article site with no malicious activity detected.
Safety Factors
Details
Page Title
DFW Airport Ground Stop Systems Failure Causes Major Flight Delays
Scan Type
public
Language
English
Category
news media journalism
(86%)Domain Information
The domain 'www.aeronewsjournal.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'aeronewsjournal' stretches across 15 characters containing seven vowels alongside eight consonants. Breaking it apart gives 3 words: aero, news, journal. The median word length lands at 4 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 |
|---|---|---|---|
| 27 | 172.67.71.64 | United States | AS13335Cloudflare, Inc. |
| 24 | 142.251.127.157 | United States | AS15169Google LLC |
| 24 | 142.251.14.121 | United States | AS15169Google LLC |
| 24 | 192.178.183.94 | United States | AS15169Google LLC |
| 24 | 142.251.110.191 | United States | AS15169Google LLC |
| 24 | 18.66.147.53 | United States | AS16509Amazon.com, Inc. |
| 24 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 24 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 24 | 18.66.147.29 | United States | AS16509Amazon.com, Inc. |
| 24 | 18.66.147.80 | United States | AS16509Amazon.com, Inc. |
| 339 | 14 | - | - |
Detected Technologies4
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