Security Scan Report: elections.inyocounty.us

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 7 domains to perform 16 HTTP transactions. The main domain is inyocounty.us and was registered 24 years ago.

Submitted URL: https://elections.inyocounty.us/how-is-the-u-s-president-elected/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Inyo County Elections educational article on the Electoral College. 24-year-old self-branded government domain, no forms, no threat-intel or malware signals. Legitimate.

Safety Factors (4)
Established 24-year-old government domain matching its own brand
Article-type informational content with no data collection
No IoC, hunting rule, Safe Browsing or IDS hits
Physical address visible; official county elections branding
Domain age information unavailable

Details

Page Title

How is the U.S. President Elected? – Inyo County Elections

Scan Type

public

Domain Name Analysis

The domain name 'elections.inyocounty.us' uses the United States country-code top-level domain (.us); it also runs on subdomain 'elections'. The second-level label 'inyocounty' is 10 characters long with four vowels and six consonants. Breaking it apart gives two words: inyo, county. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Inyo County Elections Registration Voting Options & Information —_ Election Results FAQs — About Us Official Inyo County Elections Website. Where tradition meets innovation! / How is the U.S. Presid...

Page Load Overview

4.56s
Total Load Time
134 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:9,748 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
31%
news/blog
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.0.78.20San Francisco, California, United States
AS2635Automattic, Inc
4192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
4192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
4192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
164--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10243D622B154527A3E2E07ABB143733EB064991CDA425AF8B0F4906C4EC5DBA05F736E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lpsZdyp+93iW1hRM/w0iTOK4y1uI3RO+f4Kvi8wdv2WF6Z5LAfd:lmypQiW1hRM/JE1Phw1F6Z5LAfd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60205:DhdoMSg1gQwwgEJFCAGSyCYBhIkGyUQoUXltGbRCSARMSJkNlGIUAsIwAHpABAAhC6EWEQdiRB0K3CBxLkYRYRGFgBQipJNF

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:0000ffcfffffefdf
Perceptual Hash:b0461b4e4cf59cb5
Difference Hash:260c189e16161e1e
Wavelet Hash:0000cfc7c7c7c7cf
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

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