Summary
This website contacted 55 IPs in 2 countries across 13 domains to perform 44 HTTP transactions. The main domain is smcacre.gov and was registered NaN years ago.
Submitted URL: https://smcacre.gov/november-4-2025
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government election information site.
Safety Factors
Details
Page Title
November 4, 2025 | San Mateo County Assessor-County Clerk-Recorder & Elections - ACRE
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'smcacre.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The registrable portion 'smcacre' spans 7 characters split between 2 vowels and five consonants. Breaking it apart gives 2 words: smc, acre. Median word length comes out to 3.5 characters. 'smic' most often appears in French. Usage also turns up in Chinese (Pinyin) and English contexts.
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 |
|---|---|---|---|
| 44 | 151.101.194.191 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 216.239.38.178 | United States | AS15169GOOGLE |
| 0 | 216.239.32.178 | United States | AS15169GOOGLE |
| 0 | 216.239.32.36 | United States | AS15169GOOGLE |
| 0 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 104.26.12.28 | United States | AS13335CLOUDFLARENET |
| 0 | 3.161.82.124 | United States | AS16509AMAZON-02 |
| 0 | 13.226.244.111 | United States | AS16509AMAZON-02 |
| 0 | 104.20.38.26 | United States | AS13335CLOUDFLARENET |
| 0 | 2.16.168.106 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 44 | 55 | - | - |
Detected Technologies12
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
Scan history not available
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