Summary
This website contacted 29 IPs in 2 countries across 5 domains to perform 122 HTTP transactions. The main domain is senecacountyhealthny.gov and was registered NaN years ago.
Submitted URL: https://senecacountyhealthny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no malicious indicators and appears to be a legitimate county health department.
Safety Factors
Details
Page Title
Seneca County Health Department – Keeping Our Communities Healthy + Safe
Scan Type
public
Language
English
Category
social media network
(85%)Domain Information
You're looking at domain 'senecacountyhealthny.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'senecacountyhealthny' stretches across 20 characters split between seven vowels and 13 consonants. It segments into 4 words: seneca, county, health, ny. The median word length lands 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 |
|---|---|---|---|
| 10 | 198.12.240.20 | United States | AS398101GO-DADDY-COM-LLC |
| 4 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 216.58.206.42 | United States | AS15169GOOGLE |
| 4 | 79.127.216.204 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 142.250.184.195 | United States | AS15169GOOGLE |
| 4 | 35.155.249.92 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 4 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 100.22.247.40 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 122 | 29 | - | - |
Detected Technologies5
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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