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Security Scan Report: www.deerislemaine.gov

Submitted: Oct 19, 2025, 7:35:43 PMCompleted: Oct 19, 2025, 7:36:52 PMpubliccompleted
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Summary

This website contacted 37 IPs in 2 countries across 10 domains to perform 154 HTTP transactions. The main domain is deerislemaine.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Official .gov domain
Established domain age
No suspicious forms or redirects
Clear municipal branding and contact information
Domain age information unavailable

Details

Page Title

Municipal government | Town of Deer Isle | United States

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(50%)

Domain Information

You're looking at domain 'www.deerislemaine.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'deerislemaine' is 13 characters long holding seven vowels versus 6 consonants. Tokenizing the label suggests three words: deer, isle, maine. Median word length comes out to 4 characters. 'deer' is most common in English usage. Secondary signals appear in Indonesian and Malay.

Screenshot

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

Page Load Overview

27.09s
Total Load Time
154
HTTP Requests
10
Domains
2.2 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:2,778 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
50%
government
48%
healthcare medical
32%
technology software
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10151.101.194.217San Francisco, California, United States
AS54113FASTLY
4151.101.2.217San Francisco, California, United States
AS54113FASTLY
43.167.227.108United States
AS16509AMAZON-02
4216.239.34.36United States
AS15169GOOGLE
454.221.236.172Ashburn, Virginia, United States
AS14618AMAZON-AES
43.167.227.129United States
AS16509AMAZON-02
434.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
43.167.227.123United States
AS16509AMAZON-02
444.208.190.36Ashburn, Virginia, United States
AS14618AMAZON-AES
4142.250.185.174United States
AS15169GOOGLE
15437--

Detected Technologies7

MetaGenerator
100%
Wix
85%
React
50%
Google Cloud
50%
HTTP/3
40%
HSTS
40%
Google Cloud CDN
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T119939672E95D0C3F713384D9E4B9D3263092C91DC75688749EAC637A17CECF6728AA09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JLUd1+wUailAoCxPTeeLbaHBrveDKJEcRex2gPLMxLeeTXeeeIeeveeeg+awejes:rTN6r8/k/q3n37

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90726:UYYyEoIdEIAYSUJnWLwCAphIBBECGqAxsFA/powEcAgQIUwRqBAA0gAhdLIA4IKloWb4EGaSBSGkRCQEOSNAcfAEB/BwBQww

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:0003fbe3f3f31c3f
Perceptual Hash:ad2d1772691bcd88
Difference Hash:7737729797047870
Wavelet Hash:0003fbc3f3e11c3f
Color Hash:#8abf40

Other Hashes

Crop Resistant:edf1b1f1adad0101,5aceccde46466e2e,a9a9cbcb9b9bc300,7271fcac8e8c2b3b,f1f87878d0b0e082,7736729797047870

Scan History

Scan history not available

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