Summary
This website contacted 33 IPs in 2 countries across 10 domains to perform 110 HTTP transactions. The main domain is superscore.live and was registered NaN years ago.
Submitted URL: https://superscore.live/en/football/namibia-south-africa/y3uo2grc-o1ebi8vg
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate sports score page with no security concerns.
Safety Factors
Details
Page Title
South Africa vs. Namibia Match Details
Scan Type
public
Language
English
Category
adult content
(63%)Domain Information
The domain 'superscore.live' uses the .live top-level domain without a subdomain. The core label 'superscore' covers 10 characters holding 4 vowels versus six consonants. Splitting it apart reveals 2 words: super, score. Median word length is five characters. The linguistic tilt is French for 'super'. Secondary signals appear in German and English. Taken together, it feels 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 |
|---|---|---|---|
| 14 | 151.101.65.91 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 146.75.122.79 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 52.11.187.212 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 3 | 142.250.186.40 | United States | AS15169GOOGLE |
| 3 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 3 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.1.91 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 13.32.121.106 | New York, New York, United States | AS16509AMAZON-02 |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 18.245.60.3 | United States | AS16509AMAZON-02 |
| 110 | 33 | - | - |
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
Unable to load historical scan data