Security Scan Report: www.ci.neenah.wi.us

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Submitted: Oct 10, 2025, 5:46:47 AMCompleted: Oct 10, 2025, 5:48:16 AMpubliccompleted
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Summary

This website contacted 67 IPs in 2 countries across 18 domains to perform 159 HTTP transactions. The main domain is ci.neenah.wi.us and was registered NaN years ago.

Submitted URL: https://www.ci.neenah.wi.us/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal site with no security concerns

Safety Factors
Established domain age (>22 years)
Official government domain (ci.neenah.wi.us)
Absence of suspicious forms or data collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

City of Neenah

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(86%)

Domain Information

The domain 'www.ci.neenah.wi.us' uses the United States country-code top-level domain (.wi.us), featuring subdomain 'www.ci'. Count 6 characters in 'neenah' containing three vowels alongside 3 consonants. Tokenizing the label suggests two words: nee, nah. Expect three characters per word on average. 'nee' most often appears in Afrikaans. It also appears in Dutch and Estonian contexts.

Screenshot

Security scan screenshot of https://www.ci.neenah.wi.us/

Page Load Overview

24.77s
Total Load Time
159
HTTP Requests
18
Domains
13.0 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:9,896 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
86%
corporate business
59%
news/blog
20%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.190.52.95United States
AS396982GOOGLE-CLOUD-PLATFORM
213.33.187.37New York, New York, United States
AS16509AMAZON-02
2142.250.186.136United States
AS15169GOOGLE
2216.58.206.42United States
AS15169GOOGLE
2192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
235.190.93.146United States
AS396982GOOGLE-CLOUD-PLATFORM
2142.250.185.106United States
AS15169GOOGLE
2142.250.186.132United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
213.33.187.114New York, New York, United States
AS16509AMAZON-02
15967--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1446496A13C9E143E115F22CF7107B31D66E7D9F5EA11989073FE57288BE9F8035A2226

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OGbwHudl4G3aZ2GNcACGSMq9yyyXL9TeWaUckGdO0h7G3Bh+GlhPh7DOslicpPzi:Xl4jHHCGE9yK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:314221:N6hJJaQYYRJAwOhDKxgQkJECwEJNYUEg6AwASPiAGh2G2RSuIxCOEQaNiAgjAUSQcHiiEnARS2xQgk4YcVYkgADQh1yUIKBD

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:3e3e3c3860080071
Perceptual Hash:81969e71652f6363
Difference Hash:7470d0d2d6d15183
Wavelet Hash:3e3f3f386808097b
Color Hash:#2d8386

Scan History

Scan history not available

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