Security Scan Report: stlouiscovotes.info

Redirected to: https://stlouiscountymo.gov/st-louis-county-government/board-of-elections/

Submitted: Oct 13, 2025, 12:14:31 PMCompleted: Oct 13, 2025, 12:15:25 PMpubliccompleted
Loading additional data...

Summary

This website contacted 161 IPs in 2 countries across 33 domains to perform 164 HTTP transactions. The main domain is stlouiscountymo.gov and was registered NaN years ago.

Submitted URL: https://stlouiscovotes.info/

Effective URL: https://stlouiscountymo.gov/st-louis-county-government/board-of-elections/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Official government branding on final URL
No suspicious forms or scripts detected
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(64%)

Domain Information

The domain name 'stlouiscovotes.info' uses the informational generic top-level domain (.info) with no subdomain. The second-level label 'stlouiscovotes' is 14 characters long containing 6 vowels alongside eight consonants. Segmentation suggests 4 words: st, louis, co, votes. Median word length comes out to 3.5 characters. The linguistic tilt is Czech for 'st'. It also appears in Polish and Galician contexts.

Screenshot

Security scan screenshot of https://stlouiscovotes.info/

Page Load Overview

14.24s
Total Load Time
164
HTTP Requests
33
Domains
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,491 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
64%
government public service
50%
documentation technical
48%
government
48%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.186.110United States
AS15169GOOGLE
1192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
1151.101.129.229San Francisco, California, United States
AS54113FASTLY
113.226.244.56United States
AS16509AMAZON-02
1142.250.186.78United States
AS15169GOOGLE
1216.58.206.74United States
AS15169GOOGLE
1142.250.185.138United States
AS15169GOOGLE
1142.250.185.206United States
AS15169GOOGLE
1104.18.11.61United States
AS13335CLOUDFLARENET
164161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D653B410A479993B011F34C5F0A5A704B187F727C355EBF5B2FD82BAEB80DA85C0B65A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SyQmFUaAptBvUoqu+Z58LBA8eil3CemEaPBAABjYo4ZyHcxjqU7ycda5G6j2j7hd:LOhqu+Z58LW8eil3CemEae4Yo4ZyHcxp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64313:BDRERGAYyB+WDBCmfga2AhGCwBIkD6RQtsEBBEQtgRH8AAZiZhDoARowCBSgBwMcQReCJUEQwQ4AqKiIkAIbKBggTPkMBCcz

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:00009cffffffffff
Perceptual Hash:d94b022525357d5f
Difference Hash:c229319222323838
Wavelet Hash:000088cbc3ffcfdf
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data