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Security Scan Report: townofsenecawoodcowi.gov

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Submitted: Dec 10, 2025, 8:08:34 AMCompleted: Dec 10, 2025, 8:09:19 AMpubliccompleted
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Summary

This website contacted 88 IPs in 2 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: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate government website.

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

Details

Page Title

Town of Seneca - Wood

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'townofsenecawoodcowi.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'townofsenecawoodcowi' spans 20 characters split between nine vowels and eleven consonants. It segments into six words: town, of, seneca, wood, cow, i. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.54s
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:3,558 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
37%
documentation technical
25%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
64142.250.74.219United States
AS15169GOOGLE
0216.239.32.36United States
AS15169GOOGLE
035.155.249.92Boardman, Oregon, United States
AS16509AMAZON-02
0151.101.65.229San Francisco, California, United States
AS54113FASTLY
0104.17.24.14United States
AS13335CLOUDFLARENET
0142.250.184.251United States
AS15169GOOGLE
079.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0142.250.186.155United States
AS15169GOOGLE
0142.250.186.187United States
AS15169GOOGLE
0142.250.184.202United States
AS15169GOOGLE
6488--

Detected Technologies7

JQueryv3.6.3
100%
Google-AnalyticsvUniversal
100%
Plesk
40%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Webflow
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14263D73374E10037012352D876E56F0ABBD1E21BC7678A88B6ED77548FC6CE169AB25C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sobzn1QwM9q5jUQQBbvBOfOnO8OtBxSCmgFQAzSbdAN4cq:yCmgFQAzmAN4cq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70629:4gIPBk6AVQEoBUGBEUPh0QEpHLSoJSAJAhSgQ0JAFmyEDjBkAGBchLAQWEBXRoWBigSQCpEhicCUvhwckAoiEAqqICKCwBMP

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:#79d2aa

Other Hashes

Crop Resistant:974edb11358b9be9,46a69159cbcbac9d,6191919191919161,ce5b15150b9a9ae8

Scan History

Scan history not available

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