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Security Scan Report: townofsenecawoodcowi.gov

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Submitted: Oct 21, 2025, 4:51:37 AMCompleted: Oct 21, 2025, 4:52:23 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: 92%

1
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Domain age over 2 years (1056 days)
Official government domain (.gov)
No password or payment collection forms
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) and has no subdomain. The core label 'townofsenecawoodcowi' covers 20 characters holding nine vowels versus eleven consonants. Segmentation suggests six words: town, of, seneca, wood, cow, i. Expect 3.5 characters per word on average. Most frequently, 'town' shows up in Chinese (Pinyin). Usage also turns up in English and Croatian contexts.

Screenshot

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

Page Load Overview

10.83s
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:3,562 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
64151.101.194.137San Francisco, California, United States
AS54113FASTLY
0188.114.96.3United States
AS13335CLOUDFLARENET
035.163.146.243Boardman, Oregon, United States
AS16509AMAZON-02
079.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
079.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0104.17.25.14United States
AS13335CLOUDFLARENET
0142.250.185.200United States
AS15169GOOGLE
0142.250.186.42United States
AS15169GOOGLE
0142.250.186.155United States
AS15169GOOGLE
0195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6488--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16563B63364E00137112352DC76D1AF0ABB91E20BD75B8A88B6ED77548FC6CF659AB21C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bMzn1Q5M9K5hIULQGIMIMIBOCOnO8OtBpykkQKmgFQAQxAN4U:MCQKmgFQ9AN4U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71086:Ap1KGrI0mKkQhoMWohDEAQNEZiEUqBRyDwAaA84xGCBMBAmPC6HrD6DAy2ABAAgDNBACAMjLUgQ6gDBESzgDYAwDLVAFLgUG

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:#53ac8d

Other Hashes

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

Scan History

Scan history not available

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