Security Scan Report: waconiatwsp.gov

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Submitted: Nov 24, 2025, 8:54:26 PMCompleted: Nov 24, 2025, 8:55:39 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 6 domains to perform 32 HTTP transactions. The main domain is waconiatwsp.gov and was registered NaN years ago.

Submitted URL: https://waconiatwsp.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (.gov)
No suspicious forms or data collection
No external links or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Waconia Township | Explore Waconia Township Today

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

real estate property

(58%)

Domain Information

The domain 'waconiatwsp.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'waconiatwsp' spans 11 characters holding 4 vowels versus seven consonants. Breaking it apart gives four words: waco, nia, tw, sp. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.88s
Total Load Time
32
HTTP Requests
6
Domains
1.4 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:376 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property58% confidence
Type: spa
Method: ml+structural

All Detected Categories

real estate property
58%
government
48%
government public service
38%
news media journalism
32%
healthcare medical
29%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113FASTLY
10146.75.120.237Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2198.49.23.145United States
AS53831SQUARESPACE
2142.250.186.170United States
AS15169GOOGLE
2198.49.23.144United States
AS53831SQUARESPACE
2198.185.159.145United States
AS53831SQUARESPACE
22a00:1450:4001:828::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
2198.185.159.144New York, New York, United States
AS53831SQUARESPACE
22a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.185.131United States
AS15169GOOGLE
3211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179A3D7AAF0342E3D605F7AF1E14A336D993B9323DAD81FD4BC8C9A645FC5AD10913168

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FRb7kWYNkJaY4Wa+kN931dZZSGCZ8Htoi5gS8eQ:FRb7kXNkJaY4Wa+4fdZert

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100086:ViZSFMTcgQBAAUIAiOpVhQGkQgSCBWhMcSARHAoMhsCQ4GAlctQxNKYUYAGACEIAULiKZ1SUEKgEpSwA2AMAgAZFYIjVqxWq

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:0000ffffff004000
Perceptual Hash:d0bc7870baf12cd1
Difference Hash:a9a9e0e8c8c5d091
Wavelet Hash:801dffffff00e000
Color Hash:#2da6d2

Scan History

Scan history not available

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