Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is torontomets.ca and was registered NaN years ago.
Submitted URL: https://www.torontomets.ca/news/mets-alum-mitch-bratt-added-to-d-backs-40-man-rost
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate news article about a baseball player, with no malicious indicators.
Safety Factors
Details
Page Title
News: Mets Alum Mitch Bratt Added to D-Backs 40 Man Roster - Toronto Mets
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
You're looking at domain 'www.torontomets.ca' on the Canadian country-code top-level domain (.ca), featuring subdomain 'www'. Its registrable label 'torontomets' stretches across 11 characters holding four vowels versus 7 consonants. Breaking it apart gives 2 words: toronto, mets. Median word length comes out to 5.5 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 |
|---|---|---|---|
| 16 | 173.230.149.130 | Fremont, California, United States | AS63949Akamai Connected Cloud |
| 16 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 32 | 2 | - | - |
Detected Technologies3
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
Scan History
Scan history not available
Unable to load historical scan data