Summary
This website contacted 55 IPs in 2 countries across 16 domains to perform 66 HTTP transactions. The main domain is daniellebinns.com and was registered NaN years ago.
Submitted URL: https://daniellebinns.com/2025/02/best-fish-for-kids-and-how-to-get-kids-to-eat-them/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Best Fish for Kids (and How to Get Kids to Eat Them!)
Scan Type
public
Language
English
Category
social media network
(97%)Domain Information
The domain name 'daniellebinns.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 13 characters in 'daniellebinns' holding five vowels versus 8 consonants. Word splitting yields three words: danielle, binn, s. Expect 4 characters per word on average. 'danielle' most strongly signals Czech. You will also see it in Slovak and Croatian contexts. Overall, 'daniellebinns.com' reads as Czech.
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 |
|---|---|---|---|
| 12 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 142.250.186.168 | United States | AS15169GOOGLE |
| 1 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.33.187.111 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 142.250.186.46 | United States | AS15169GOOGLE |
| 1 | 104.26.0.128 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.206.42 | United States | AS15169GOOGLE |
| 1 | 3.226.31.62 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 66 | 55 | - | - |
Detected Technologies13
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
Other Hashes
Scan History
Scan history not available
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