Summary
This website contacted 32 IPs in 2 countries across 10 domains to perform 51 HTTP transactions. The main domain is chop.edu and was registered NaN years ago.
Submitted URL: https://www.chop.edu/news/dos-and-donts-feeding-picky-eaters
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate health article from a reputable hospital website.
Safety Factors
Details
Page Title
Feeding a Picky Eater: The Do's and Don'ts | Children's Hospital of Philadelphia
Scan Type
public
Language
English
Category
education
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'www.chop.edu' is registered, featuring subdomain 'www'. The core label 'chop' covers 4 characters containing one vowel alongside three consonants. Tokenizing the label suggests one word: chop. Median word length comes out to four characters. 'chop' most often appears in English. You may catch it in Chinese (Pinyin) and Czech as well.
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 |
|---|---|---|---|
| 22 | 23.185.0.3 | United States | AS54113FASTLY |
| 13 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 5 | 35.241.51.89 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 3.93.131.47 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 146.75.121.55 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 18.211.63.6 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 1 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.35 | United States | AS15169GOOGLE |
| 51 | 32 | - | - |
Detected Technologies10
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
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