Security Scan Report: middleburghtown-ny.gov

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

Submitted: Dec 25, 2025, 5:56:44 AMCompleted: Dec 25, 2025, 6:38:42 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 middleburghtown-ny.gov.

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

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Bot Protection Detected

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

Page Title

403 Forbidden

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(88%)

Domain Information

The domain 'middleburghtown-ny.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The registrable portion 'middleburghtown-ny' spans 18 characters split between 4 vowels and 13 consonants; bonus characters include one hyphen. Segmentation suggests four words: middle, burgh, town, ny. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

67.32s
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:969 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
88%
documentation technical
88%
government public service
79%
news media journalism
65%
phishing scam
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1164.22.37.4Albany, New York, United States
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8E0C05F516E111A5693E3C078D02790E8036329398216DDBB48946790419BDC52279C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:hn8FQtJCc4svmo9s9xwIgsozEr6VyF02xxdGzsQWrbEHcLgWugszvjsKtgsg93wH:hnMQtJOo9yxBgsozR4F0+dgsQoIfWugO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:da4b30ee05b40c6d8ce16b6d620d9a59

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:0f1fffffffffffff
Perceptual Hash:8909090707e7e7f7
Difference Hash:f030000000000000
Wavelet Hash:0000f0f0f0f0f0f0
Color Hash:#6c8be0

Other Hashes

Crop Resistant:f030000000000000

Scan History

Scan history not available

Unable to load historical scan data