Summary
API
Submitted URL: https://firstalerthurricane.com/
AI Security Verdict
Safe Website
Confidence: 94%
The site appears to be a legitimate news/blog page about hurricane tracking with no phishing or malware indicators.
Safety Factors (3)
Details
Page Title
Expert Hurricane Tracking "Precision Tracking for Peace of Mind"
Scan Type
public
Domain Name Analysis
Domain 'firstalerthurricane.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'firstalerthurricane' is 19 characters long split between seven vowels and 12 consonants. Segmentation suggests 3 words: first, alert, hurricane. Expect five characters per word on average. 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 |
|---|---|---|---|
| 6 | 65.9.130.75Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 18.244.18.127Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 92.113.16.21 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 0 | 18.245.31.6Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 104.20.47.89Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 140.90.107.147 | United States | AS3477National Oceanic and Atmospheric Administration |
| 0 | 128.104.111.211 | Madison, Wisconsin, United States | AS59University of Wisconsin Madison |
| 0 | 192.203.136.228 | Lisle, Illinois, United States | AS17196College of duPage |
| 0 | 140.90.107.16 | United States | AS3477National Oceanic and Atmospheric Administration |
| 0 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 6 | 15 | - | - |
Detected Technologies3
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
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