Summary
This website contacted 64 IPs in 3 countries across 22 domains to perform 193 HTTP transactions. The main domain is rocklandcountyny.gov and was registered NaN years ago.
Submitted URL: https://www.rocklandcountyny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate government site; minor redirect oddity does not indicate malicious activity.
Risk Factors
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
government public service
(78%)Domain Information
The domain 'www.rocklandcountyny.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The second-level label 'rocklandcountyny' is 16 characters long holding 4 vowels versus twelve consonants. It segments into three words: rockland, county, ny. The median word length lands at 6 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 |
|---|---|---|---|
| 69 | 23.50.131.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 47 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 27 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 7 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.184.227 | United States | AS15169GOOGLE |
| 3 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 54.159.231.72 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 13.35.58.85 | United States | AS16509AMAZON-02 |
| 3 | 13.217.251.59 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 193 | 64 | - | - |
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
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