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Security Scan Report: harfordvotes.gov

Submitted: Dec 17, 2025, 11:27:28 AMCompleted: Dec 17, 2025, 11:29:28 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is harfordvotes.gov and was registered NaN years ago.

Submitted URL: https://harfordvotes.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns

Safety Factors
Established government domain
Clear election-related content
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Harford County Board of Elections – 133 Industry Lane, Forest Hill, MD 21050 I 410-638-3565

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

The domain 'harfordvotes.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'harfordvotes' covers 12 characters split between 4 vowels and eight consonants. It segments into 2 words: harford, votes. Median word length is 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

35.17s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
61%
government public service
56%
adult content
54%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.236.116.153Chicago, Illinois, United States
AS63949Akamai Connected Cloud
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141E3F87D60361E1BA53FE187E092770CA133D78BDB105AF9BBF42054E7D8DA824A7168

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AfqCh0JeK4rJXDWoYK2Lxit8vndy4/dymU1xER9ciMJSJAq6WVt/c7p:CrJXDWoYK2Lxit8vns

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147850:FlZQXEBQEIEAigLlMoQEJQYy8eQ+oiBAHnhPmhA4zBAkIpKgQAAAkBA8igxRjGb7DwQWkkI1QAi8oCaAIGASIwYhyiQICUoM

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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