Summary
This website contacted 18 IPs in 2 countries across 3 domains to perform 25 HTTP transactions. The main domain is us.etrade.com and was registered NaN years ago.
Submitted URL: https://us.etrade.com/knowledge/library/stocks/day-trading-basics
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate educational page from E*TRADE with no security concerns.
Safety Factors
Details
Page Title
Day Trading Guide to Help You Get Started
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'us.etrade.com' on the commercial generic top-level domain (.com) and includes subdomain 'us'. The second-level label 'etrade' is 6 characters long containing 3 vowels alongside 3 consonants. Segmentation suggests two words: e, trade. Median word length is three characters. 'e' most often appears in Italian. You may catch it in Albanian and Galician 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 |
|---|---|---|---|
| 8 | 18.245.60.62 | United States | AS16509AMAZON-02 |
| 1 | 65.196.177.40 | Sarasota, Florida, United States | AS6352ETRADE-AS |
| 1 | 18.245.60.16 | United States | AS16509AMAZON-02 |
| 1 | 12.221.217.40 | Atlanta, Georgia, United States | AS6352ETRADE-AS |
| 1 | 18.245.60.98 | United States | AS16509AMAZON-02 |
| 1 | 184.28.89.29 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 18.245.60.94 | United States | AS16509AMAZON-02 |
| 1 | 2a02:26f0:3500:591::1e80 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2600:9000:2646:2e00:7:2667:2700:93a1 | United States | AS16509AMAZON-02 |
| 1 | 2600:9000:2646:6c00:7:2667:2700:93a1 | United States | AS16509AMAZON-02 |
| 25 | 18 | - | - |
Detected Technologies5
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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