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Security Scan Report: townofprincessanne.org

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Submitted: Oct 26, 2025, 6:20:01 PMCompleted: Oct 26, 2025, 6:23:00 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 14 domains to perform 86 HTTP transactions. The main domain is townofprincessanne.org and was registered NaN years ago.

Submitted URL: https://townofprincessanne.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Official municipal domain with long registration history
Contains only standard contact and informational forms
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Town of Princess Anne, Maryland | Government & Town Services

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'townofprincessanne.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The core label 'townofprincessanne' covers 18 characters split between 6 vowels and 12 consonants. Segmentation suggests 4 words: town, of, princess, anne. The median word length lands at 4 characters. 'town' is most common in Chinese (Pinyin) usage. You may catch it in English and Dutch as well.

Screenshot

Security scan screenshot of https://townofprincessanne.org/

Page Load Overview

7.53s
Total Load Time
86
HTTP Requests
14
Domains
8.5 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-US
Text Length:2,601 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3254.156.15.181Ashburn, Virginia, United States
AS14618AMAZON-AES
2418.172.112.47United States
AS16509AMAZON-02
2018.172.112.48United States
AS16509AMAZON-02
10146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7142.250.185.195United States
AS15169GOOGLE
4142.250.185.200United States
AS15169GOOGLE
3142.250.185.131United States
AS15169GOOGLE
2142.250.185.78United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2142.250.186.136United States
AS15169GOOGLE
8632--

Detected Technologies11

X-UA-Compatible
100%
WordPressv6.8
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv2.9.7.1
100%
Bootstrapv4.3.1
100%
Google Analytics
55%
PHP
50%
MySQL
50%
Google Tag Manager
50%
Gravity Forms
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0B3F73598890037473385DDE1BAF20977EAA112CF55C091F1FC4A2867E9EA118BB79F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pNc7pQLiCho5hWP4GiKdo9Y5plK1nP+caERD8BTfovtItgUS:7KQ32QQKdpgUS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116294:AcAHK81IsYCEQTImiDTMCCJEsAIKYh0U9+QgQnmgDJDIwCKCLwYYBgABlAEgQkQ4mAioamRg0RIQDh6KFTIADINkTAGBmAhE

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:ffff0001000000fd
Perceptual Hash:ab95ed15eb006af0
Difference Hash:6b714d4d4d799551
Wavelet Hash:ffffe725000000fd
Color Hash:#9479d2

Other Hashes

Crop Resistant:6b714d4d4d799551,b953d3a3cc98a4b5,554d4d4d4c695196,12585c840422eac8

Scan History

Scan history not available

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