Security Scan Report: waconiamn.gov

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Submitted: Oct 9, 2025, 5:52:21 AMCompleted: Oct 9, 2025, 5:53:37 AMpubliccompleted
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Summary

This website contacted 47 IPs in 1 country across 13 domains to perform 110 HTTP transactions. The main domain is waconiamn.gov and was registered NaN years ago.

Submitted URL: https://waconiamn.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Government TLD (.gov)
Consistent municipal branding and contact information
Absence of suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Waconia, MN - Official Website | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(94%)

Domain Information

The domain 'waconiamn.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 9 characters in 'waconiamn' with four vowels and five consonants. Breaking it apart gives 3 words: waco, nia, mn. Expect 3 characters per word on average. 'waco' is most common in French usage. Secondary signals appear in Vietnamese and English. Taken together, it feels French.

Screenshot

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

Page Load Overview

13.43s
Total Load Time
110
HTTP Requests
13
Domains
8.6 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:5,377 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service94% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
94%
real estate property
49%
government
48%
news media journalism
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.217.18.3United States
AS15169GOOGLE
2216.58.206.72United States
AS15169GOOGLE
2104.18.28.155United States
AS13335CLOUDFLARENET
2142.250.185.138United States
AS15169GOOGLE
213.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
234.218.12.29Boardman, Oregon, United States
AS16509AMAZON-02
250.112.179.225Boardman, Oregon, United States
AS16509AMAZON-02
2216.58.206.74United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2142.250.185.142United States
AS15169GOOGLE
11047--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CF328E0E5986833801732C4B07BAB1864BA8376DA064C59FC7E93F09BF9CA5D736195

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pzbr1+coa78l73AV3wen75BhMPFJoXIVJd:pn5+coa78l73AV3TnOPFJpVH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162602:SQTmqBGNagGEhAEogmIYXqzQDBYCMoKDglEQByEYAGQmEAeEBKBNqBEIYqkSS4iMCV4I6y5gqAoIyFWxmtFDCAkDyURFcL5Q

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:3dffff6600ffef3f
Perceptual Hash:a7d09d6a07d09d6a
Difference Hash:494800cc4d338c6d
Wavelet Hash:00ffff6e0001e727
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data