Summary
This website contacted 5 IPs in 2 countries across 35 domains to perform 2 HTTP transactions. The main domain is eonline.com and was registered NaN years ago.
Submitted URL: https://fr.eonline.com/news/1434154/netflixs-a-toxic-love-story-where-are-michelle-hadley-ian-diaz-now
Effective URL: https://www.eonline.com/news/1434154/netflixs-a-toxic-love-story-where-are-michelle-hadley-ian-diaz-nowRedirected
The Cisco Umbrella rank of the primary domain is #47,542 of the top 1 million websites
AI Security Verdict
Moderate Risk
Confidence: 80%
The page is a legitimate news article with no phishing or malware indicators; minor risk due to obfuscated JavaScript.
Risk Factors
Safety Factors
Details
Page Title
Netflix's A Toxic Love Story: Where Are Michelle Hadley, Ian Diaz Now?
Scan Type
public
Language
English
Category
adult content
(49%)Domain Information
Domain 'fr.eonline.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'fr'. The registrable portion 'eonline' spans 7 characters containing four vowels alongside three consonants. It segments into two words: e, online. Median word length is 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 |
|---|---|---|---|
| 16 | 18.244.18.27Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 16 | 104.18.86.42Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 16 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 16 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 16 | 104.126.37.177 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 80 | 5 | - | - |
Page Statistics
Detected Technologies2
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