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Security Scan Report: senecacountyhealthny.gov

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Submitted: Nov 17, 2025, 1:36:44 AMCompleted: Nov 17, 2025, 1:37:36 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 5 domains to perform 121 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%

0
Risk Score

Legitimate government site with no detected threats.

Safety Factors
Government TLD (.gov) provides inherent trust
Domain age of 131 days is moderate and not extremely new
Absence of credential or payment collection forms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Seneca County Health Department – Keeping Our Communities Healthy + Safe

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(85%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'senecacountyhealthny.gov' is registered without a subdomain. The registrable portion 'senecacountyhealthny' spans 20 characters holding seven vowels versus 13 consonants. Breaking it apart gives 4 words: seneca, county, health, ny. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://senecacountyhealthny.gov/

Page Load Overview

34.65s
Total Load Time
121
HTTP Requests
5
Domains
5.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:2,583 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network85% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
85%
government public service
69%
healthcare medical
64%
government
48%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
3142.250.186.99United States
AS15169GOOGLE
3142.250.186.106United States
AS15169GOOGLE
3198.12.240.20United States
AS398101GO-DADDY-COM-LLC
3142.250.185.234United States
AS15169GOOGLE
334.218.163.246Boardman, Oregon, United States
AS16509AMAZON-02
354.203.137.195Boardman, Oregon, United States
AS16509AMAZON-02
3142.250.186.131United States
AS15169GOOGLE
379.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
3212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
12134--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9A3B6A23D8E283A211F11CB7003360E609796B7D72569F1F2FF5168A7B1EDC365261E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:70aVVnFZ5jvFZhFScCsbA/nz5kc96HAxr5TFE:HA/nW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104954:AQlDECKRYFKIQ0gQENZdAnIgeCdiEAMmLBSEQKCAASGDAzQA0gZ0AzoDEIBkFwIAoLorAhBXKDIShiBEMpCmFaeQIgAooyjE

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

Average Hash:3000ffc3c3ffffc3
Perceptual Hash:f456525264cee2d9
Difference Hash:e4c81e1616271396
Wavelet Hash:3800c7c3c3c3ffc3
Color Hash:#3a5c78

Other Hashes

Crop Resistant:e4c81e1616271396,c4029ac2d48c808a,e8d4f4e8c8d04103,d2d2ad1daea21a05,1345414569694145,29d52e9696748b15

Scan History

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