Security Scan Report: middleburghtown-ny.gov

Redirected to: https://middleburghtown-ny.gov/

Submitted: Nov 26, 2025, 7:12:37 PMCompleted: Nov 26, 2025, 7:14:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is middleburghtown-ny.gov and was registered NaN years ago.

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

Effective URL: https://middleburghtown-ny.gov/Redirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site shows an SSL certificate error and low reputation but no malicious activity; likely a misconfiguration rather than a scam.

Risk Factors
Invalid SSL certificate (common name mismatch)
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
Domain age > 180 days (established)
No credential or payment forms present
No malicious Indicators of Compromise matches
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

technology software

(88%)

Domain Information

The domain 'middleburghtown-ny.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'middleburghtown-ny' is 18 characters long split between four vowels and 13 consonants; it also includes one hyphen. Tokenizing the label suggests 4 words: middle, burgh, town, ny. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.43s
Total Load Time
3
HTTP Requests
1
Domains
1 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
264.22.37.4Coxsackie, New York, United States
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4D3BF7155E60A3F181F45E772DB39483B6860836603ED93F5FCB8409F8B6B42462BD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BmqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK3rUpmSMmtBux:TWWxAhESxtUx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137359:YYVYNiBkSsWQEFPKBTjqvZAkK7pgFFNAAADMCKtZEgCSASEBI4DMOmURTClAABGCw4bAUgqACNJPsqzAiBIaAQGmlAow1HsB

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:ff3f0501ff81fdfc
Perceptual Hash:8aa5c2a5da7c7ad0
Difference Hash:c0d06d7330174149
Wavelet Hash:ff3f00011f00ff3c
Color Hash:#6cdce0

Other Hashes

Crop Resistant:c0d06d7330174149

Scan History

Scan history not available

Unable to load historical scan data