Summary
This website contacted 20 IPs in 3 countries across 7 domains to perform 91 HTTP transactions. The main domain is businessabc.net and was registered NaN years ago.
Submitted URL: https://businessabc.net/wiki/laurence-fishburne
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational page about Laurence Fishburne with no security concerns.
Safety Factors
Details
Page Title
Laurence Fishburne
Scan Type
public
Language
English
Category
education learning
(69%)Domain Information
The domain 'businessabc.net' uses the network infrastructure generic top-level domain (.net) without a subdomain. The core label 'businessabc' covers 11 characters split between 4 vowels and seven consonants. Breaking it apart gives two words: business, abc. Average segment length settles at 5.5 characters. 'business' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and French.
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 |
|---|---|---|---|
| 15 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 216.58.206.72 | United States | AS15169GOOGLE |
| 4 | 146.75.120.159 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 4 | 3.5.245.106 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 18.135.184.39 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 52.95.191.50 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 3.5.245.179 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 3.5.244.176 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 52.95.149.190 | London, England, United Kingdom | AS16509AMAZON-02 |
| 4 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 91 | 20 | - | - |
Detected Technologies4
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
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