Security Scan Report: carlisletown-ny.gov

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

Submitted: Dec 16, 2025, 4:29:35 AMCompleted: Dec 16, 2025, 4:30:34 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 carlisletown-ny.gov and was registered NaN years ago.

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

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Official government domain (.gov)
Established domain age
No suspicious content or forms
Domain age information unavailable

Details

Page Title

Default Web Site Page

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

documentation technical

(59%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'carlisletown-ny.gov' is registered. The core label 'carlisletown-ny' covers 15 characters holding 4 vowels versus ten consonants; bonus characters include one hyphen. Segmentation suggests 3 words: carlisle, town, ny. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.06s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:186 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical59% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
59%
government
48%
adult content
34%
technology software
32%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.22.37.4Coxsackie, 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

T150E1FD5B6AF200276043A4B56BAB7712AB24E053C21ECD547E1C53D8DF86992CDA3B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9lYHC+H1U7ydPJq5AtyhhuT9w3y4E9SyJNol9VR8L:t9plh8L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6942:QTpKYAgAhMFZtRhwCACNCNAgFkIkFEnIgnYCwEKji0DDSBoDYQCQAYRAAEAAYKAAFICZlAVSg4pxnIQQAEqAu3gR4JABCBGo

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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