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Security Scan Report: townofnevawi.gov

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Submitted: Oct 8, 2025, 5:44:13 AMCompleted: Oct 8, 2025, 5:45:34 AMpubliccompleted
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Summary

This website contacted 60 IPs in 2 countries across 9 domains to perform 136 HTTP transactions. The main domain is townofnevawi.gov.

Submitted URL: https://townofnevawi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected security threats.

Safety Factors
Official municipal domain for Town of Neva, Langlade County, Wisconsin
Provides public government information and meeting minutes
Domain age information unavailable

Details

Page Title

Town of Neva – Langlade County, Wisconsin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(86%)

Domain Information

Domain 'townofnevawi.gov' uses the United States government-restricted top-level domain (.gov). Count 12 characters in 'townofnevawi' containing 5 vowels alongside seven consonants. Word splitting yields four words: town, of, neva, wi. Median word length comes out to 3 characters. 'town' most often appears in Chinese (Pinyin). It also appears in English and Dutch contexts. Overall, 'townofnevawi.gov' reads as Chinese (Pinyin).

Screenshot

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

Page Load Overview

48.27s
Total Load Time
136
HTTP Requests
9
Domains
1.1 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:3,528 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service86% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
86%
news media journalism
67%
adult content
56%
government
48%
forum community discussion
26%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.250.185.227United States
AS15169GOOGLE
2142.250.185.106United States
AS15169GOOGLE
252.32.117.186Boardman, Oregon, United States
AS16509AMAZON-02
2104.18.21.227United States
AS13335CLOUDFLARENET
2216.58.206.42United States
AS15169GOOGLE
2185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2149.28.119.254Elk Grove Village, Illinois, United States
AS20473AS-VULTR
23.20.246.229Columbus, Ohio, United States
AS16509AMAZON-02
2212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
279.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
13660--

Detected Technologies11

WordPressv6.8.3
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HSTS
40%
UserWay
20%
Swiper
20%
Moment.js
20%
Google Maps
20%
Font Awesome
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C394E4627B52697E712F11CF9013665C30CBEEDAD661A4F4F2F32210D1BACD03B9A265

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BPSN64RCHlhRJ+S9RPorgozL3131HQvEaBwDlC46XwZpsKPuQl:cN64Rg9RPs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:410746:NggDAIJEEiIhKVxCT5IqKqAKxhBaOQCCJAEVSCgQJQMsAFjTDDKTQLAPBBFrGE4BRFcVREEgJGwYFgIMjSQARlI4hZ4kVRRA

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:61766e4e0e331423
Wavelet Hash:b502020200ffffff
Color Hash:#6ce083

Other Hashes

Crop Resistant:61766e4e0e331423,b430e9f4e4eeeac1,333333f3d393b5d8,0000020202020200,39793337a3632797,c541816139113333

Scan History

Scan history not available

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