Security Scan Report: www.hampdenmaine.gov

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Submitted: Dec 10, 2025, 10:18:09 AMCompleted: Dec 10, 2025, 10:20:38 AMpubliccompleted
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Summary

This website contacted 42 IPs in 2 countries across 12 domains to perform 97 HTTP transactions. The main domain is hampdenmaine.gov and was registered NaN years ago.

Submitted URL: https://www.hampdenmaine.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Official government TLD (.gov)
Long‑standing domain registration
Absence of suspicious forms or data collection
No external malicious links detected
Domain age information unavailable

Details

Page Title

Hampden, ME

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(62%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.hampdenmaine.gov' is registered and includes subdomain 'www'. Count 12 characters in 'hampdenmaine' with five vowels and 7 consonants. Tokenizing the label suggests two words: hampden, maine. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.hampdenmaine.gov/

Page Load Overview

34.01s
Total Load Time
97
HTTP Requests
12
Domains
6.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:9,495 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
62%
real estate property
61%
government
48%
documentation technical
44%
technology software
41%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.18.40.68United States
AS13335CLOUDFLARENET
2142.250.185.227United States
AS15169GOOGLE
254.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
2142.250.185.232United States
AS15169GOOGLE
244.196.186.103Ashburn, Virginia, United States
AS14618AMAZON-AES
2216.58.206.74United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2142.250.185.106United States
AS15169GOOGLE
2172.217.23.106United States
AS15169GOOGLE
2104.17.25.14United States
AS13335CLOUDFLARENET
9742--

Detected Technologies2

100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18863D8A74491583742B7A2C936A8AF1D66C3A50AD06324425BFCC3BF87DEEC47D1A05F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iqqrAovJs0iAo7Ca99JAuVG9EJL73SDuF4YmSZauOzL73SGNWZ4KBYzP9FJfVIrY:+rAov1iAoea7JAuVSE1RCNWZ4KBYL9FP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68461:OGhoDyXA2CEiuEJALUicu5BAgIMgCAaAAkSJDVQYpY2bosBnBWgiRIBZNGAAxxaAAYBBHghwhEHY0BJIAPNCCHiFJBAQOH8B

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:ff5f0e0800000fff
Perceptual Hash:9955ac62ce39752c
Difference Hash:479c1ad8e9999b1b
Wavelet Hash:ff5f0e08000c0fff
Color Hash:#1f934e

Scan History

Scan history not available

Unable to load historical scan data