Summary
This website contacted 19 IPs in 3 countries across 10 domains to perform 48 HTTP transactions. The main domain is docsports.com and was registered NaN years ago.
Submitted URL: https://www.docsports.com/free-picks/kbo/2025/nc-dinos-vs-samsung-lions-prediction-10-7-2025-kbo-pick-tips-and-odds.html
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no evident security threats.
Safety Factors
Details
Page Title
NC Dinos vs Samsung Lions Prediction, 10/7/2025 KBO Pick, Tips and Odds
Scan Type
public
Language
English
Category
gambling betting
(89%)Domain Information
The domain 'www.docsports.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'docsports' stretches across 9 characters with 2 vowels and seven consonants. It segments into 2 words: doc, sports. Median word length is 4.5 characters. 'doc' most often appears in English. You may catch it in Chinese (Pinyin) and German as well.
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 |
|---|---|---|---|
| 12 | 142.250.184.202 | United States | AS15169GOOGLE |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 199.248.62.97 | Las Vegas, Nevada, United States | AS15340CVI-BORDER-1 |
| 2 | 142.250.186.130 | United States | AS15169GOOGLE |
| 2 | 142.250.184.226 | United States | AS15169GOOGLE |
| 2 | 178.162.175.77 | Netherlands | AS60781LeaseWeb Netherlands B.V. |
| 2 | 172.217.18.8 | United States | AS15169GOOGLE |
| 2 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.185.78 | United States | AS15169GOOGLE |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 48 | 19 | - | - |
Detected Technologies4
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
Scan History
Scan history not available
Unable to load historical scan data