Security Scan Report: charlestown-nh.gov

Submitted: Oct 19, 2025, 3:09:00 PMCompleted: Oct 19, 2025, 3:09:46 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 29 HTTP transactions. The main domain is charlestown-nh.gov and was registered NaN years ago.

Submitted URL: https://charlestown-nh.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
Long domain age indicating stability
Absence of suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Official Web Site of Town of Charlestown, NH

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(95%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'charlestown-nh.gov' is registered without a subdomain. The second-level label 'charlestown-nh' is 14 characters long containing three vowels alongside 10 consonants, along with one hyphen. It segments into 2 words: charlestown, nh. Average segment length settles at 6.5 characters. 'charleston' is most common in Vietnamese usage. Secondary signals appear in Chinese (Zhuyin) and Danish.

Screenshot

Security scan screenshot of https://charlestown-nh.gov/

Page Load Overview

12.26s
Total Load Time
29
HTTP Requests
4
Domains
248 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
HTML Lang Attribute:en
Text Length:1,641 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3142.250.186.42United States
AS15169GOOGLE
3142.250.185.195United States
AS15169GOOGLE
375.2.60.5United States
AS16509AMAZON-02
335.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a00:1450:4001:812::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
299--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187920D35E480A63712438EDAB17167ABF3CB91DDEE0B11A5A3F993D55BC0CE5EE08045

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:V8Riy/sMHMUj1RxJ29NNANIhtBClIllIiNUboWsNwBgKv1Syo+EYcGv6SeZWv8o:V8Riy/sMHMUj1RxJ29EahtBClIllIiNi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20794:NMAQCK2AviT0QjhiQAOIIlQoAQEbCuUFGAAGYCBigioExzfoUMAMSiQwAK5QJEGBAIfAJIEBCEghoTBWwERJ+AVQxIYHAES4

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:ff040000ffffffff
Perceptual Hash:9a1a84e5e96dc5c5
Difference Hash:d9d955591bc89547
Wavelet Hash:3c000000c9ffffff
Color Hash:#c1e06c

Scan History

Scan history not available

Unable to load historical scan data