Summary
This website contacted 115 IPs in 2 countries across 21 domains to perform 69 HTTP transactions. The main domain is distractify.com and was registered NaN years ago.
Submitted URL: https://www.distractify.com/p/lukas-gage-mental-health
The Cisco Umbrella rank of the primary domain is #302,476 of the top 1 million websites
AI Security Verdict
Details
Page Title
Inside Actor Lukas Gage’s Mental Health Journey
Scan Type
public
Language
English
Category
entertainment media
(68%)Domain Information
Within the commercial generic top-level domain (.com), 'www.distractify.com' is registered with subdomain 'www'. The registrable portion 'distractify' spans 11 characters split between 3 vowels and eight consonants. Tokenizing the label suggests three words: distract, if, y. Average segment length settles at 2 characters. Most frequently, 'if' shows up in Spanish. It also appears in English and Chinese (Pinyin) contexts.
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 |
|---|---|---|---|
| 69 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 0 | 172.64.146.226 | United States | AS13335CLOUDFLARENET |
| 0 | 108.138.7.75 | United States | AS16509AMAZON-02 |
| 0 | 104.18.0.22 | United States | AS13335CLOUDFLARENET |
| 0 | 18.245.46.75 | United States | AS16509AMAZON-02 |
| 0 | 34.95.69.49 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 13.32.99.43 | New York, New York, United States | AS16509AMAZON-02 |
| 0 | 212.102.56.179 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 13.32.121.110 | New York, New York, United States | AS16509AMAZON-02 |
| 69 | 115 | - | - |
Detected Technologies7
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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