Summary
This website contacted 12 IPs in 4 countries across 11 domains to perform 131 HTTP transactions. The main domain is gaffer.world and was registered NaN years ago.
Submitted URL: https://gaffer.world/pages/luis-diaz-hometown-hero
AI Security Verdict
Safe Website
Confidence: 94%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Luis Diaz: Hometown Hero – GAFFER
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(77%)Domain Information
The domain 'gaffer.world' uses the .world top-level domain while skipping any subdomain. The core label 'gaffer' covers 6 characters with 2 vowels and 4 consonants. Word splitting yields 2 words: gaffe, r. Average segment length settles at 3 characters. Most frequently, 'gaffe' shows up in French. You will also see it in Italian and Danish 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 |
|---|---|---|---|
| 21 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 10 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 10 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 10 | 104.18.0.22 | United States | AS13335CLOUDFLARENET |
| 10 | 34.73.251.59 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 10 | 34.120.110.54 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 10 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 10 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 10 | 142.250.185.168 | United States | AS15169GOOGLE |
| 10 | 23.227.38.32 | Canada | AS13335CLOUDFLARENET |
| 131 | 12 | - | - |
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
Scan history not available
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