Summary
This website contacted 60 IPs in 2 countries across 16 domains to perform 47 HTTP transactions. The main domain is rocklandtimes.com.
Submitted URL: https://rocklandtimes.com/2025/10/11/pomona-couple-wins-deal-on-shark-tank-with-the-snorinator/michael-strahan-lori-greiner-lloyd-ecker/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news site with no security concerns
Safety Factors
Details
Page Title
rocklandtimes.com
Scan Type
public
Language
English
Category
healthcare medical
(74%)Domain Information
Within the commercial generic top-level domain (.com), 'rocklandtimes.com' is registered with no subdomain. The core label 'rocklandtimes' covers 13 characters with four vowels and 9 consonants. Tokenizing the label suggests two words: rockland, times. Median word length comes out to 6.5 characters. The linguistic tilt is English for 'rockland'. You may catch it in Chinese (Pinyin) and Norwegian as well. Taken together, it feels English.
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 |
|---|---|---|---|
| 25 | 54.158.22.6 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 142.250.186.131 | United States | AS15169GOOGLE |
| 2 | 18.173.205.12 | United States | AS16509AMAZON-02 |
| 2 | 142.250.184.234 | United States | AS15169GOOGLE |
| 2 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 99.86.4.76 | United States | AS16509AMAZON-02 |
| 1 | 3.171.214.34 | United States | AS16509AMAZON-02 |
| 1 | 3.160.150.71 | United States | AS16509AMAZON-02 |
| 1 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 3.123.181.193 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 47 | 60 | - | - |
Detected Technologies12
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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