Security Scan Report: carlisletown-ny.gov

Redirected to:
https://carlisletown-ny.gov/
Submitted: Oct 4, 2025, 11:11:22 AMCompleted: Oct 4, 2025, 11:12:23 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: 85%

1
Risk Score

The site appears to be a legitimate municipal domain with no malicious indicators; the 403 likely reflects access restrictions.

Safety Factors
.gov TLD typically reserved for legitimate government entities
No forms collecting passwords, emails, or payment data
Domain age > 365 days reduces suspicion
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

403 Forbidden

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 and has no subdomain. The core label 'carlisletown-ny' covers 15 characters with four vowels and ten consonants, notching one hyphen. Tokenizing the label suggests three words: carlisle, town, ny. Median word length is 4 characters. Most frequently, 'carlisle' shows up in Norwegian. Secondary signals appear in Danish and Swedish.

Screenshot

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

Page Load Overview

0.59s
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
29%

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

T137D0EB0F924F102F5663938068C01640E81221243942249CA70C91AB400186D8413BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwIgsozEr6VyF02xxdGzsQWrbEHcLgWugszvjsKtgsg93wzRJz:kxBgsozR4F0+dgsQoIfWugszvjsKtgiH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a5461509947ff3e80852c9eaef6851a6

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:8d0f07070707e7e7
Difference Hash:f030000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:#a179d2

Other Hashes

Crop Resistant:f030000000000000

Scan History

Scan history not available

Unable to load historical scan data