Summary
This website contacted 5 IPs in 2 countries across 3 domains to perform 9 HTTP transactions. The main domain is putnamcountyny.gov and was registered NaN years ago.
Submitted URL: https://putnamcountyny.gov/
The Cisco Umbrella rank of the primary domain is #494,555 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
GoDaddy Security - Access Denied
Scan Type
public
Language
English
Category
government
(48%)Domain Information
You're looking at domain 'putnamcountyny.gov' on the United States government-restricted top-level domain (.gov). The second-level label 'putnamcountyny' is 14 characters long holding four vowels versus ten consonants. It segments into three words: putnam, county, ny. Average segment length settles at six 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 |
|---|---|---|---|
| 6 | 192.124.249.16 | Menifee, California, United States | AS30148SUCURI-SEC |
| 5 | 23.53.42.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 192.124.249.82 | Menifee, California, United States | AS30148SUCURI-SEC |
| 1 | 23.53.42.160 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2a02:fe80:1010::16 | United States | AS30148SUCURI-SEC |
| 9 | 5 | - | - |
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
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