Security Scan Report: www.flaglerelections.gov

Redirected to: https://www.flaglerelections.gov/Home

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Submitted: Dec 20, 2025, 5:35:58 PMCompleted: Dec 20, 2025, 5:37:05 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is flaglerelections.gov and was registered NaN years ago.

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

Effective URL: https://www.flaglerelections.gov/HomeRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns detected.

Safety Factors
Official government domain (.gov)
Well‑established domain age
Absence of forms collecting sensitive data
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Home | Flagler County Elections Office

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

government

(48%)

Domain Information

The domain 'www.flaglerelections.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'flaglerelections' is 16 characters long split between six vowels and 10 consonants. Word splitting yields 2 words: flagler, elections. Expect 8 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.20s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:129 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
technology software
39%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.110.191.60Haarlem, North Holland, Netherlands
AS20940Akamai International B.V.
1104.110.191.29Haarlem, North Holland, Netherlands
AS20940Akamai International B.V.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5C35C22A5887337021B21CB74A2B74861B7C04BEB564951FEFC4755AFE1CB649233AF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sulRmq6Fz+hlTC1z4ulNK07Wz6ok3nGxslfT0I6QUzBgW:siRmq6F6hNUX7Wz6ok3nGxslfT0ITUz7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123874:AFAkACFOMkMIbRDwCkQAIIDDQKCFhuBjQBiHILJaqdxwQbEIRNVSYATCKDEqCGsy1cBF8BFqAAjgQJACnGWGELqA8JUJBEgA

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:00003c3c7c7c7c7c
Perceptual Hash:822d2d317e3f8ec2
Difference Hash:2dd1e1e1ddf9ddf5
Wavelet Hash:00007c3c7c7e7e7e
Color Hash:#bf40bf

Scan History

Scan history not available

Unable to load historical scan data