Security Scan Report: www.santaclaritavalleydemocrats.com

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Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 9 domains to perform 150 HTTP transactions. The main domain is santaclaritavalleydemocrats.com and was registered 5 years ago.

Submitted URL: https://www.santaclaritavalleydemocrats.com/endorsements/november-2026/l.a.-county-sheriff-robert-luna

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate local Democratic club endorsement page on an established, self-branded domain; no forms, no impersonation, and no threat-intelligence, hunting rule, or IDS hits.

Safety Factors (5)
Established domain (>5 years old)
Title and Open Graph metadata match the site's own domain (self-branding)
No credential or payment collection on the page
Third-party scripts all from ranked, common platforms (Wix infrastructure and a visitor-analytics service)
ML page classifier indicates government/public-service and corporate content, consistent with a civic organization site
Domain age information unavailable

Details

Page Title

L.A. County Sheriff Robert Luna | Santa Clarita Valley Democrats

Scan Type

public

Domain Name Analysis

Domain 'www.santaclaritavalleydemocrats.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'santaclaritavalleydemocrats' is 27 characters long holding ten vowels versus 17 consonants. Breaking it apart gives four words: santa, clarita, valley, democrats. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.santaclaritavalleydemocrats.com/endorsements/november-2026/l.a.-county-sheriff-robert-luna

Page Load Overview

1.28s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,184 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
53%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14162.159.143.12Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8172.66.3.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
865.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
852.2.125.157Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
834.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
846.224.104.82Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
865.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
865.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15018--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E258EA46204683C4FCB32AE7B86BD0D61B46406DDC14A6FF5DD6A2C26D3BE812D7317

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+8jdzHh62iskWGtITmLKLZ3KTnAEqxFVdGa/QwPBD+uqucEaWs/068jAKfVAnxzC:PjdlStITmOEqzVdzY+Bq1tUvAnGB3Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:986642:FAZTDAwCjGARzKBUwBpIxdGCiQJOQoyAIKCoAO8E1PQMycRJGMdYzZADLEQT4HCQEEBZDAYqCAGGphoQDBihI4lhaYAMgIii

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:fcc3d3f3c3cfffcf
Perceptual Hash:ec6d9292484f1ade
Difference Hash:c116262616983ab8
Wavelet Hash:7cc2c2c2c2c7c74f
Color Hash:#6c75e0

Scan History

Scan history not available

Unable to load historical scan data