Security Scan Report: walesmaine.gov

Submitted: Oct 26, 2025, 2:07:03 AMCompleted: Oct 26, 2025, 2:08:04 AMpubliccompleted
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Summary

This website contacted 37 IPs in 2 countries across 9 domains to perform 72 HTTP transactions. The main domain is walesmaine.gov and was registered NaN years ago.

Submitted URL: https://walesmaine.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Domain age > 1 year
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content appears to be a legitimate municipal website
Domain age information unavailable

Details

Page Title

Wales, ME

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(61%)

Domain Information

You're looking at domain 'walesmaine.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'walesmaine' spans 10 characters holding five vowels versus 5 consonants. It segments into two words: wales, maine. Average segment length settles at five characters. 'wales' most often appears in Dutch. Usage also turns up in Romanian and Vietnamese contexts. Net impression: Dutch phrase.

Screenshot

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

Page Load Overview

40.91s
Total Load Time
72
HTTP Requests
9
Domains
1.8 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:2,193 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
61%
government
48%
news media journalism
29%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3654.218.35.203Boardman, Oregon, United States
AS16509AMAZON-02
1172.64.147.188United States
AS13335CLOUDFLARENET
1104.17.24.14United States
AS13335CLOUDFLARENET
1104.18.40.68United States
AS13335CLOUDFLARENET
1104.17.25.14United States
AS13335CLOUDFLARENET
1216.58.206.74United States
AS15169GOOGLE
1142.250.185.170United States
AS15169GOOGLE
134.231.125.22Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.185.195United States
AS15169GOOGLE
1142.250.185.74United States
AS15169GOOGLE
7237--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193D254728192053B4233B2C835656F6E74C24A2AE523250187FD97FF5BFADC4BD1A12E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:kqo8Sq6+HGuQXhZK+HGuQ5bKkB5RRU0XUfZkd:WqmXhg5bKkB5Okd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30430:EIiLpCcCQhPIg8gB2QYSLEKDCI4g/QYDJhA1EBAhAoYIVBTESgxMR5GvUBEhwsJShA2Qo3YngaQCBwBMBsZEpU4RCpINZFiE

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:ff1700000000feff
Perceptual Hash:94add69bc0d16b64
Difference Hash:c03697bab779ecec
Wavelet Hash:ff9f00020108feff
Color Hash:#1f5993

Scan History

Scan history not available

Unable to load historical scan data