Summary
This website contacted 65 IPs in 3 countries across 20 domains to perform 98 HTTP transactions. The main domain is bouldercounty.gov.
Submitted URL: https://bouldercounty.gov/elections/
The Cisco Umbrella rank of the primary domain is #705,645 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government elections page with no security concerns.
Safety Factors
Details
Page Title
Elections - Boulder County
Scan Type
public
Language
English
Category
adult content
(95%)Domain Information
Domain 'bouldercounty.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'bouldercounty' is 13 characters long with five vowels and eight consonants. Word splitting yields two words: boulder, county. Average segment length settles at 6.5 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 |
|---|---|---|---|
| 34 | 142.251.38.67 | United States | AS15169GOOGLE |
| 1 | 13.33.235.102 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 216.58.209.195 | United States | AS15169GOOGLE |
| 1 | 13.62.107.153 | Stockholm, Stockholm County, Sweden | AS16509AMAZON-02 |
| 1 | 13.33.235.17 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 35.165.8.78 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 216.58.210.168 | United States | AS15169GOOGLE |
| 1 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 1 | 108.128.48.93 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 172.67.163.237 | United States | AS13335CLOUDFLARENET |
| 98 | 65 | - | - |
Detected Technologies7
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
Scan History
Scan history not available
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