Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is boxoddsstats.com and was registered NaN years ago.
Submitted URL: https://boxoddsstats.com/fighter?fighter=Edwin+De+Los+Santos-7189
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate, with no phishing, malware, or credential‑harvesting indicators.
Safety Factors
Details
Page Title
Edwin De Los Santos | box odds stats | pro boxing odds, results, & stats
Scan Type
public
Language
English
Category
healthcare medical
(77%)Domain Information
The domain name 'boxoddsstats.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'boxoddsstats' covers 12 characters holding three vowels versus nine consonants. Word splitting yields 3 words: box, odds, stats. Median word length is four 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 |
|---|---|---|---|
| 38 | 163.44.185.171 | Japan | AS7506GMO Internet, Inc. |
| 36 | 192.178.183.97 | United States | AS15169Google LLC |
| 36 | 104.18.8.9 | United States | AS13335Cloudflare, Inc. |
| 110 | 3 | - | - |
Detected Technologies7
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
Unable to load historical scan data