Security Scan Report: www.votesjc.gov

Redirected to: https://www.votesjc.gov/#gsc.tab=0

Submitted: Dec 11, 2025, 8:09:42 AMCompleted: Dec 11, 2025, 8:10:07 AMpubliccompleted
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Summary

This website contacted 73 IPs in 2 countries across 21 domains to perform 101 HTTP transactions. The main domain is votesjc.gov.

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

Effective URL: https://www.votesjc.gov/#gsc.tab=0Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate government election information site with no evident security threats.

Safety Factors
.gov TLD provides inherent trust
Absence of suspicious forms or data collection fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Elections Information | Vicky Oakes | St. Johns

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(94%)

Domain Information

Domain 'www.votesjc.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The registrable portion 'votesjc' spans 7 characters with 2 vowels and 5 consonants. Splitting it apart reveals two words: votes, jc. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.84s
Total Load Time
101
HTTP Requests
21
Domains
1.3 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:5,737 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service94% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
94%
education learning
53%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29172.66.147.250United States
AS13335CLOUDFLARENET
1104.18.10.207United States
AS13335CLOUDFLARENET
199.84.152.70United States
AS16509AMAZON-02
13.174.46.4United States
AS16509AMAZON-02
113.32.121.50New York, New York, United States
AS16509AMAZON-02
154.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.184.202United States
AS15169GOOGLE
1108.138.7.94United States
AS16509AMAZON-02
118.244.20.158United States
AS16509AMAZON-02
1108.138.7.72United States
AS16509AMAZON-02
10173--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C644D9A1F2991871A05343EBB787A768E365D187DB5209D07B9E53701F8ADE33732B08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9CdGor9XkCXjyWk9v+l4cEi34hGQI7S1/9JveWPg9uqNohieMUvc06e9ONh7LwQV:AdGor9Xf+Qu0d7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:277323:HiBQpFQMAFXAFhAJRAgBhACKc4KMCI0ANrYjNoxhlEAlSmDAgoFioABMBDDbQWlwB4sigEsgRTxRsEChCAAC0S0IEpgAAgAT

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:00ff030b001c3e7f
Perceptual Hash:9e75c65a691d6426
Difference Hash:f98d2e3a33a568c2
Wavelet Hash:00ff070b011c3fff
Color Hash:#bfae40

Scan History

Scan history not available

Unable to load historical scan data