Summary
This website contacted 14 IPs in 3 countries across 10 domains to perform 27 HTTP transactions. The main domain is whitesidecountyil-elections.gov and was registered NaN years ago.
Submitted URL: https://whitesidecountyil-elections.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government election site with no detected threats.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'whitesidecountyil-elections.gov' is registered and has no subdomain. Count 27 characters in 'whitesidecountyil-elections' containing 11 vowels alongside 15 consonants, plus 1 hyphen. Word splitting yields four words: whiteside, county, il, elections. Average segment length settles at 7.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 204.11.56.63 | British Virgin Islands | AS40034CONFLUENCE-NETWORK-INC |
| 1 | 208.91.197.27 | British Virgin Islands | AS40034CONFLUENCE-NETWORK-INC |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 87.248.119.251 | United Kingdom | AS203220Yahoo-UK Limited |
| 1 | 2a00:1288:80:807::1 | United Kingdom | AS203220Yahoo-UK Limited |
| 1 | 2620:1ec:bdf::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 1 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 27 | 14 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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