Security Scan Report: charlestown-nh.gov

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Submitted: Oct 14, 2025, 7:53:58 PMCompleted: Oct 14, 2025, 7:54:52 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 town website with no security concerns.

Safety Factors
Official government domain (.gov)
Long-established domain age
No suspicious content or redirects
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Official Web Site of Town of Charlestown, NH

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'charlestown-nh.gov' on the United States government-restricted top-level domain (.gov) without a subdomain. The second-level label 'charlestown-nh' is 14 characters long with three vowels and 10 consonants; it also includes 1 hyphen. Tokenizing the label suggests two words: charlestown, nh. Median word length is 6.5 characters. 'charleston' most strongly signals Vietnamese. You may catch it in Chinese (Zhuyin) and Danish as well.

Screenshot

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

Page Load Overview

27.47s
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:1,634 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
575.2.60.5United States
AS16509AMAZON-02
3216.58.206.67United States
AS15169GOOGLE
335.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3142.250.186.138United States
AS15169GOOGLE
32a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a00:1450:4001:80f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
32a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
299--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8921D35E480A63712438EDAB17167ABF3CB91DDEE0B11A5A3F993D55BC0CE5EE08049

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:V8RiU/sMHMUj1RxJ29NNANIBtBClIllIiNUboWsNwBgKv1Syo+EYcGv6SeZWv8o:V8RiU/sMHMUj1RxJ29EaBtBClIllIiNi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20782:CXWQBYDMWAzTgBBxBSBCgpgIQNrJIRIkSARhcJQANK4FxBxAEBI5GiRtvKxLHUBFFFHAFABmFgrgoANAmJEYIgEh5EJAhASw

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:d9d955591bc895e7
Wavelet Hash:3c000000c9ffffff
Color Hash:#87afc5

Scan History

Scan history not available

Unable to load historical scan data