Summary
This website contacted 41 IPs in 2 countries across 9 domains to perform 38 HTTP transactions. The main domain is oncodaily.com and was registered NaN years ago.
Submitted URL: https://oncodaily.com/stories/celebrities/edie-falco-cancer
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and is safe to browse.
Safety Factors
Details
Page Title
Edie Falco and Breast Cancer: How She Went Against, How She Survived, and More - OncoDaily
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
You're looking at domain 'oncodaily.com' on the commercial generic top-level domain (.com) without a subdomain. The core label 'oncodaily' covers 9 characters holding 4 vowels versus five consonants. Splitting it apart reveals 3 words: on, co, daily. Average segment length settles at 2 characters. 'on' most strongly signals Estonian. Usage also turns up in Finnish and Czech contexts. Net impression: Estonian phrase.
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 |
|---|---|---|---|
| 38 | 104.18.39.141 | United States | AS13335CLOUDFLARENET |
| 0 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 0 | 104.26.11.163 | United States | AS13335CLOUDFLARENET |
| 0 | 216.239.32.36 | United States | AS15169GOOGLE |
| 0 | 23.215.16.53 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.136 | United States | AS15169GOOGLE |
| 0 | 104.26.10.163 | United States | AS13335CLOUDFLARENET |
| 0 | 108.138.7.110 | United States | AS16509AMAZON-02 |
| 0 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 38 | 41 | - | - |
Detected Technologies12
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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