Security Scan Report: townofsenecawoodcowi.gov

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Submitted: Dec 16, 2025, 8:43:31 PMCompleted: Dec 16, 2025, 8:44:14 PMpubliccompleted
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Summary

This website contacted 66 IPs in 3 countries across 14 domains to perform 64 HTTP transactions. The main domain is townofsenecawoodcowi.gov and was registered NaN years ago.

Submitted URL: https://townofsenecawoodcowi.gov/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established .gov domain with multi‑year registration
No credential or payment collection forms
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

Town of Seneca - Wood

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

The domain name 'townofsenecawoodcowi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 20 characters in 'townofsenecawoodcowi' containing nine vowels alongside 11 consonants. It segments into six words: town, of, seneca, wood, cow, i. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.97s
Total Load Time
64
HTTP Requests
14
Domains
1.7 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
Text Length:3,991 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%
news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
64100.22.242.100Boardman, Oregon, United States
AS16509AMAZON-02
0216.58.210.179United States
AS15169GOOGLE
0104.16.175.226United States
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
044.255.125.116Boardman, Oregon, United States
AS16509AMAZON-02
0185.76.9.11Stockholm, Stockholm County, Sweden
AS60068Datacamp Limited
0216.239.34.36United States
AS15169GOOGLE
0185.76.9.27Stockholm, Stockholm County, Sweden
AS60068Datacamp Limited
0216.239.32.36United States
AS15169GOOGLE
6466--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16363D73370E00137056352D8B6A5AF0ABBD1E24BC7678A88B5EC77548FC7CE159AB25C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wAzn1QiM9C5jUrQBbvdOhOGOnOBBxvOq1QDAN4Uq:mOqcAN4Uq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73318:oQBYZEKCZEJl2NDGT5DRTApgJwnQFBgQQVTQINAeGSA3aFEEAt9UFgdQlADUIhYIizBUyTwcwcMZMMgEBIkEirAABZ8Q640Q

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:ffff2b8981000000
Perceptual Hash:aba7c5707a594323
Difference Hash:974edb11358b9be9
Wavelet Hash:ffff7f9d81000048
Color Hash:#6cc7e0

Scan History

Scan history not available

Unable to load historical scan data