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Security Scan Report: townofcopakeny.gov

Submitted: Nov 19, 2025, 12:17:50 AMCompleted: Nov 19, 2025, 12:19:19 AMpubliccompleted
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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 townofcopakeny.gov and was registered NaN years ago.

Submitted URL: https://townofcopakeny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official government domain (.gov)
No suspicious content or external links
Domain age moderate but no malicious activity observed
Domain age information unavailable

Details

Page Title

Town of Copake – New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain 'townofcopakeny.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The core label 'townofcopakeny' covers 14 characters containing 5 vowels alongside nine consonants. Splitting it apart reveals five words: town, of, copa, ken, y. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.15s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:750 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
60%
government public service
54%
government
48%
adult content
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35.161.99.82Ashburn, Virginia, United States
AS213230Hetzner Online GmbH
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1D49691041B0010A7835CC223DE7E29FE1EA302F554E478BBFD1A599FEAD6593B178E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:pi3333333lalalalalalalalalalalalalalalalalalalalalalalalalalalar:pRA7C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:639667:YBKIk22MAIAZZdC4FzhQhIV4UMtkdQSwghFAUK2BAESCHgFCEXBgAAyUERjAEiACAgIEGAQJieEoEGedGAgBc4+gUS9goBgK

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:ff11fefefe0081ff
Perceptual Hash:dcc3ab40d7a340fa
Difference Hash:41e3c8dcb4b42b23
Wavelet Hash:fd10647e5e0081ff
Color Hash:#99c587

Scan History

Scan history not available

Unable to load historical scan data