Security Scan Report: www.bayvotesfl.gov

Submitted: Oct 31, 2025, 10:50:30 AMCompleted: Oct 31, 2025, 10:54:58 AMpubliccompleted
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Summary

This website contacted 60 IPs in 3 countries across 11 domains to perform 77 HTTP transactions. The main domain is bayvotesfl.gov and was registered NaN years ago.

Submitted URL: https://www.bayvotesfl.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established government domain
Clear election information and official contact details
Standard search and informational forms only
Domain age information unavailable

Details

Page Title

Bay County Supervisor of Elections | Nina Ward

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(80%)

Domain Information

The domain name 'www.bayvotesfl.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Count 10 characters in 'bayvotesfl' holding three vowels versus 7 consonants. It segments into 3 words: bay, votes, fl. Median word length is 3 characters. 'bay' is most common in Chinese (Pinyin) usage. You will also see it in English and Chinese (Simplified) contexts.

Screenshot

Security scan screenshot of https://www.bayvotesfl.gov/

Page Load Overview

6.85s
Total Load Time
77
HTTP Requests
11
Domains
1.6 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-US
Text Length:4,091 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
80%
government
48%
corporate
35%
news/blog
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
55104.18.3.193United States
AS13335CLOUDFLARENET
18216.239.32.36United States
AS15169GOOGLE
6184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
452.216.209.225Ashburn, Virginia, United States
AS16509AMAZON-02
3142.250.181.227United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
2142.250.184.234United States
AS15169GOOGLE
116.15.203.235Ashburn, Virginia, United States
AS14618AMAZON-AES
152.217.165.217Ashburn, Virginia, United States
AS16509AMAZON-02
13.5.25.106United States
AS14618AMAZON-AES
7760--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15793F87512D00232460B4AA1F1B4BF1DE1FAC5CEC6A79C55F3FC45926FCACD8CA5A298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hNTw79teXOVK18mXKuXYcGRsDXBtHwqREDa5/kLhffa6/frSL5j1v7c:3Tw79qOVW8KKuXYcGRsDUqgY+1zfGL5i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89196:YTSKIAnOACbIACSGsDByJpiF4RAEaACSTJCACJCloAXAQgrgHQAMjoBzJQwEqCKA0dzIBCjeAEIqdGAaqDFkkAnJiCBh4Eww

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:c10000007e7f7eff
Perceptual Hash:816af094e87bfa61
Difference Hash:abc14b63d2dcdada
Wavelet Hash:c10000017f7f7eff
Color Hash:#362d86

Scan History

Scan history not available

Unable to load historical scan data