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Security Scan Report: conwaynh.gov

Submitted: Oct 4, 2025, 1:57:28 PMCompleted: Oct 4, 2025, 1:58:03 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 4 domains to perform 29 HTTP transactions. The main domain is conwaynh.gov and was registered NaN years ago.

Submitted URL: https://conwaynh.gov/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The site appears to be a legitimate municipal website with low risk.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection forms
Established domain age (> 365 days)
Official government branding and content
Domain age information unavailable

Details

Page Title

Official Web Site of Town of Conway, NH

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(91%)

Domain Information

You're looking at domain 'conwaynh.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. Count 8 characters in 'conwaynh' with 2 vowels and six consonants. Word splitting yields 2 words: conway, nh. Average segment length settles at four characters. 'conway' most strongly signals Vietnamese. You may catch it in Chinese (Zhuyin) and Chinese (Pinyin) as well.

Screenshot

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

Page Load Overview

3.21s
Total Load Time
29
HTTP Requests
4
Domains
3.4 MB
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:1,146 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
91%
government public service
48%
government
48%
documentation technical
30%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
975.2.60.5United States
AS16509AMAZON-02
2142.250.186.99United States
AS15169GOOGLE
2142.250.74.202United States
AS15169GOOGLE
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2142.250.186.106GermanyUnknown
22a00:1450:4001:82a::2003GermanyUnknown
22a05:d014:58f:6200::258GermanyUnknown
22a00:1450:4001:803::200aGermanyUnknown
22a05:d014:58f:6200::259GermanyUnknown
263.176.8.218GermanyUnknown
2911--

Detected Technologies3

Netlify
40%
HSTS
40%
Vue.js
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17752A332F140AA3B11179ECEB1707796F1DBA0E9EE1A11B8B7F643A95BC0DD0ED18445

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:b0Vio/sMBqwRc4b1qJuNoP1pburLlQcZMi7ZSHShP8T:b0Vio/sMBqwRc4b1qJNP1pburLlQcZM9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14021:AEiYdIG0QQcILIHIAb2CgDcAYeQlKqUYACAihTRqHQ3AAMcBiCBQsgSAkAwagCAfwFAsAcSkEUCeOGkOYYMOQFgC0QE6BYFb

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:ffb00000ffffffff
Perceptual Hash:ca4697bd3828878f
Difference Hash:4664c59919c49de9
Wavelet Hash:fe00000080ffffff
Color Hash:#b5e06c

Other Hashes

Crop Resistant:4664c59919c49de9,8c8ca88013545113,16338d0b212a4f6d,7176b6b616074fc9

Scan History

Scan history not available

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