Summary
This website contacted 10 IPs in 2 countries across 64 domains to perform 2 HTTP transactions. The main domain is kool965.com and was registered 9 years ago.
Submitted URL: https://kool965.com/idaho-amber-alert-laney-landry/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate news article page with no phishing, malware, or scam indicators.
Safety Factors
Details
Page Title
Idaho Amber Alert Issued for 4-Year-Old Abducted Child
Scan Type
public
Language
English
Category
technology software
(68%)Domain Information
The domain 'kool965.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'kool965' is 7 characters long holding 2 vowels versus two consonants, along with 3 digits. It segments into two words: kool, 965. Median word length comes out to 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 |
|---|---|---|---|
| 30 | 18.245.31.78Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 21 | 104.18.35.13Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 21 | 23.36.162.205 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 21 | 23.36.162.216 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 21 | 23.36.162.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 21 | 104.18.24.18Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 21 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 21 | 142.251.14.154Google · CDN | United States | AS15169Google LLC |
| 21 | 142.251.14.95Google · CDN | United States | AS15169Google LLC |
| 21 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 219 | 10 | - | - |
Page Statistics
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