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Security Scan Report: jeffersontown-ny.gov

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

Submitted: Oct 20, 2025, 11:38:37 AMCompleted: Oct 20, 2025, 11:39:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 11 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

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Government top‑level domain
Established domain age
No malicious Indicators of Compromise
No phishing or malware indicators
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

Default Web Site Page

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(89%)

Domain Information

The domain 'jeffersontown-ny.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'jeffersontown-ny' stretches across 16 characters holding 4 vowels versus 11 consonants; it also includes 1 hyphen. Breaking it apart gives two words: jeffersontown, ny. Median word length comes out to 7.5 characters. The linguistic tilt is Norwegian for 'ny'. Usage also turns up in Danish and Swedish contexts. Taken together, it feels Norwegian with character flair.

Screenshot

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

Page Load Overview

35.17s
Total Load Time
11
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
1164.22.37.4Coxsackie, New York, United States
AS22302INOC
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179E1FD5B6AF200276043A4B56BAB7712AF24E053C21ECD543E1C5398DF86992CDA3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9lYHC+H1U7ydPJq5AtyhhuT9w3y4E9SyJCfl9VR8L:t9/lh8L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6944:0ARKQBAgwcEZIRlwCMCJCdQABtdk1AFChlZAwGBYikjCaQgGAQCBA4TBCAFIIIQEAIBZFRRigYAJnIQgAEKoO1ESIBCAABGo

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:ffff000000ffffff
Perceptual Hash:d21abda440d35b6d
Difference Hash:303c59c9808c0010
Wavelet Hash:ffff00000000ffff
Color Hash:#1f5793

Other Hashes

Crop Resistant:00303030000c3030,f0ccaeaeaea6c470,f1cc96969e96c471,70cc8e8e9ea6c471,1008080000000000,08d9d9d9a9c08690

Scan History

Scan history not available

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