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Security Scan Report: townofsenecawoodcowi.gov

Submitted: Oct 11, 2025, 11:03:00 PMCompleted: Oct 11, 2025, 11:04:14 PMpubliccompleted
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Summary

This website contacted 80 IPs in 2 countries across 14 domains to perform 54 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 appears legitimate with no security concerns.

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

Details

Page Title

Town of Seneca - Wood

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'townofsenecawoodcowi.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The registrable portion 'townofsenecawoodcowi' spans 20 characters split between nine vowels and eleven consonants. Segmentation suggests 6 words: town, of, seneca, wood, cow, i. Median word length is 3.5 characters. 'town' most often appears in Chinese (Pinyin). Usage also turns up in English and Croatian contexts.

Screenshot

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

Page Load Overview

35.58s
Total Load Time
54
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:3,094 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
44%
documentation technical
40%
technology software
39%
cryptocurrency blockchain
35%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
54104.17.24.14United States
AS13335CLOUDFLARENET
0142.250.184.251United States
AS15169GOOGLE
0142.250.186.91United States
AS15169GOOGLE
0142.250.184.227United States
AS15169GOOGLE
0216.58.206.91United States
AS15169GOOGLE
0142.250.185.187United States
AS15169GOOGLE
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
0172.217.23.123United States
AS15169GOOGLE
0142.250.185.123United States
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
5480--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C533F933A4E0023B142352CCB5D59F0ABA91D20BD7278A84B5FD77548FCADE5697722C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bMzn1QzM9b5HIULQGIMIMIBOCOnO8OtBIQxAN44:DAN44

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53515:hqhFQTFLwMZEAkEAgMAI0qSSIboAyygIQLAEUCAEj5LYIMEApANRgigg4TAPMYOaBJCjAQSEqM1QKoJgkgDMyAACCQAhESQL

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:#c5a687

Other Hashes

Crop Resistant:974edb11358b9be9,46a69159cbcbac9d,6191919191919161,ce5b15350b9a9ae8

Scan History

Scan history not available

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