Security Scan Report: jeffersontown-ny.gov

Redirected to: http://jeffersontown-ny.gov/cgi-sys/defaultwebpage.cgi

Submitted: Nov 12, 2025, 12:22:50 AMCompleted: Nov 12, 2025, 12:23:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 10 HTTP transactions. The main domain is jeffersontown-ny.gov and was registered NaN years ago.

Submitted URL: http://jeffersontown-ny.gov/

Effective URL: http://jeffersontown-ny.gov/cgi-sys/defaultwebpage.cgiRedirected

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site shows a certificate warning but no malicious activity; low risk.

Risk Factors
SSL certificate common name mismatch
Unencrypted HTTP connection
Safety Factors
Domain age 476 days (established)
No malicious Indicators of Compromise matches
No credential or payment forms detected
Default placeholder page (no sensitive content)
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by rate_limit bot protection. Our scanner was challenged or blocked during access.

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(89%)

Domain Information

The domain name 'jeffersontown-ny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'jeffersontown-ny' covers 16 characters holding four vowels versus eleven consonants, notching one hyphen. Word splitting yields two words: jeffersontown, ny. Median word length is 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://jeffersontown-ny.gov/

Page Load Overview

4.49s
Total Load Time
10
HTTP Requests
1
Domains
22 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:967 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical89% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
89%
technology software
88%
government public service
80%
news media journalism
68%
phishing scam
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.22.37.4UnknownUnknown
101--

Content Similarity HashesFor malware variant detection

Image Hashes

Perceptual Hashes

Average Hash:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data