Security Scan Report: townofsigelwoodwi.gov

Submitted: Oct 15, 2025, 12:01:16 AMCompleted: Oct 15, 2025, 12:02:19 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors (3)
Established government domain
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Town of Sigel

Scan Type

public

Domain Name Analysis

Domain 'townofsigelwoodwi.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'townofsigelwoodwi' covers 17 characters holding seven vowels versus ten consonants. Segmentation suggests 5 words: town, of, sigel, wood, wi. The median word length lands at four characters. 'town' most strongly signals Chinese (Pinyin). Usage also turns up in English and Dutch contexts.

Screenshot

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

Page Load Overview

15.73s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,798 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
27%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
60172.64.153.55United States
AS13335CLOUDFLARENET
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
0195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0142.250.181.251United States
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
0104.21.34.152United States
AS13335CLOUDFLARENET
0142.250.185.219United States
AS15169GOOGLE
0195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0104.16.174.226United States
AS13335CLOUDFLARENET
0216.239.34.36United States
AS15169GOOGLE
6095--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10063B53360E00537112351DD7691AF0AFAD1E20FD76B8A88B6ED73548FC6CE599AB21C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PYzn1Qg4wUq95G09p9I9PM95PG879nzk7TTAN4F:amAN4F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66812:sAQJEK5IESUOxwQBAhiCEAbAEQAAGKwQRw2jwBAGmcYAfEfgvgBEZrCkGEnWhEsSKyBikUJVUGAJciMcmUJSFIwACAwiRaEY

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:ffff4845098900ff
Perceptual Hash:b9b5d45ba464c961
Difference Hash:c7199b899b1991e4
Wavelet Hash:ffff4941090800ff
Color Hash:#c5a687

Scan History

Scan history not available

Unable to load historical scan data