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Security Scan Report: townofnevawi.gov

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Submitted: Dec 24, 2025, 5:22:03 AMCompleted: Dec 24, 2025, 5:22:42 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 9 domains to perform 136 HTTP transactions. The main domain is townofnevawi.gov and was registered NaN years ago.

Submitted URL: https://townofnevawi.gov/

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

Legitimate municipal site with no detected threats.

Safety Factors
Well‑established domain (over 3 years old)
No credential or payment collection fields
No malicious Indicators of Compromise
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

Town of Neva – Langlade County, Wisconsin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

The domain 'townofnevawi.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'townofnevawi' stretches across 12 characters with five vowels and seven consonants. Tokenizing the label suggests four words: town, of, neva, wi. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.41s
Total Load Time
136
HTTP Requests
9
Domains
4.8 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-US
Text Length:4,279 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
88%
forum community discussion
58%
government
48%
adult content
44%
news media journalism
38%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.58.209.202United States
AS15169GOOGLE
10142.251.38.74United States
AS15169GOOGLE
10149.28.119.254Elk Grove Village, Illinois, United States
AS20473AS-VULTR
10185.76.9.27Stockholm, Stockholm County, Sweden
AS60068Datacamp Limited
10185.76.9.12Stockholm, Stockholm County, Sweden
AS60068Datacamp Limited
10216.58.210.170United States
AS15169GOOGLE
1037.27.135.61Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
10216.58.209.170United States
AS15169GOOGLE
1052.11.192.57Boardman, Oregon, United States
AS16509AMAZON-02
1016.144.102.68Boardman, Oregon, United States
AS16509AMAZON-02
13613--

Detected Technologies6

WordPressv6.8.3
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D94E4627B42297E712F11CF9113665C30CBEEDAD66194F4F2F72210D2BACD03B9A265

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BPSN64RCHlhOY+xGHBRz048ndUMQ9TybrgozY31Q1TQvEaBwDlC46DwZpsKPmQZU:cN64RZGHBRz048ndUMQ9Tya

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:429483:mAhkQlHYSCIWTKDYTgTAAxAnIHZIoQEAICCBA7CyICGRPoEIKAgAaDAIXBkeTjGBEEiXShBnhTCQyATguAFABZoAEI0IkAcw

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:ff02020202ffffff
Perceptual Hash:a525d8ca62c3cb6b
Difference Hash:69766e4e0e33162b
Wavelet Hash:b502020200ffffff
Color Hash:#6d862d

Other Hashes

Crop Resistant:69766e4e0e33162b,b430e9f4e4eeeac1,333333f3d393b5d8,0000020202020200,39793337a3632797,c541816139113333

Scan History

Scan history not available

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