Summary
This website contacted 14 IPs in 1 country across 10 domains to perform 34 HTTP transactions. The main domain is people.howstuffworks.com and was registered NaN years ago.
Submitted URL: https://people.howstuffworks.com/culture-traditions/generation-gaps/generation-z.htm
The Cisco Umbrella rank of the primary domain is #102,247 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate HowStuffWorks article with no security concerns.
Safety Factors
Details
Page Title
How Generation Z Works | HowStuffWorks
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain 'people.howstuffworks.com' uses the commercial generic top-level domain (.com) with subdomain 'people'. The second-level label 'howstuffworks' is 13 characters long split between 3 vowels and ten consonants. Tokenizing the label suggests three words: how, stuff, works. Median word length comes out to 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 |
|---|---|---|---|
| 8 | 13.33.235.43 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 3.164.68.92 | United States | AS16509AMAZON-02 |
| 2 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 2 | 3.164.206.74 | United States | AS16509AMAZON-02 |
| 2 | 13.33.235.57 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 3.164.68.61 | United States | AS16509AMAZON-02 |
| 2 | 108.156.22.73 | United States | AS16509AMAZON-02 |
| 2 | 108.156.22.57 | United States | AS16509AMAZON-02 |
| 2 | 13.33.235.124 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 162.247.241.14 | United States | AS23467NEWRELIC-AS-1 |
| 34 | 14 | - | - |
Detected Technologies6
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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