Security Scan Report: beavercreektwpohio.gov

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Submitted: Oct 23, 2025, 4:03:25 AMCompleted: Oct 23, 2025, 4:05:06 AMpubliccompleted
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Summary

This website contacted 48 IPs in 2 countries across 16 domains to perform 188 HTTP transactions. The main domain is beavercreektwpohio.gov and was registered NaN years ago.

Submitted URL: https://beavercreektwpohio.gov/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Legitimate government site with minor redirect and branding concerns.

Risk Factors
Circular redirect detected (+2 risk score)
Brand name "Google" displayed on a non‑Google domain (potential brand impersonation indicator)
Unranked domain (not in Cisco Umbrella top 1M) adds suspicion
Safety Factors
Official .gov TLD
Domain age 421 days (established)
No password, email, or payment fields present
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Beavercreek Township, OH | Official Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(56%)

Domain Information

The domain name 'beavercreektwpohio.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'beavercreektwpohio' stretches across 18 characters split between 8 vowels and ten consonants. Segmentation suggests 5 words: beaver, creek, t, wp, ohio. Median word length is four characters. 'beaver' most strongly signals Catalan. You may catch it in Chinese (Zhuyin) and Dutch as well.

Screenshot

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

Page Load Overview

49.67s
Total Load Time
188
HTTP Requests
16
Domains
4.5 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:6,910 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service56% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
56%
government
48%
adult content
35%
social media network
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
47172.217.18.8United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
3142.250.185.195United States
AS15169GOOGLE
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.185.131United States
AS15169GOOGLE
3142.250.185.170United States
AS15169GOOGLE
3207.38.73.241United States
AS36489NETSOLUS-NETWORKS
313.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
357.144.248.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
18848--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T151041894A69C2837401731C8E03BA74894BA8735E3066CB9FD7D63F09BE5CF4D1761AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pWAcAjCi1gkArJe9POjxbUvkyZ2fej2msgPZjLzZvH7wMumtdVxNvc8j5aIc/ZA+:p2bXrRyZ2fa2tlB9Tz5B2tWQ7s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186533:IAQAEI6JkKV2wjZ4BCzaxiAkRAiCECQESAdO9ZGMRYBAlAACcIiI0HFAmhsoykWYBBIBiGpXIEQYYSCcFzEJjYBpkQActIVB

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:fffffffc0000ff00
Perceptual Hash:dad0a50561e769b9
Difference Hash:caf53149d9f96d8f
Wavelet Hash:7ffffffc00002c00
Color Hash:#2d4386

Scan History

Scan history not available

Unable to load historical scan data