Security Scan Report: pastelections.macombgov.org

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Submitted: Jul 19, 2026, 1:59:39 PMCompleted: Jul 19, 2026, 2:01:17 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is pastelections.macombgov.org and was registered NaN years ago.

Submitted URL: https://pastelections.macombgov.org/candidate/2031

The Cisco Umbrella rank of the primary domain is #458,143 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

The site appears legitimate, showing official Macomb County information with no malicious indicators.

Safety Factors
Self‑branding matches official Macomb County domain
Old, well‑established domain with no malicious activity
Domain age information unavailable

Details

Page Title

Abdul El-Sayed | Macomb County Clerk's Office

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'pastelections.macombgov.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'pastelections'. The core label 'macombgov' covers 9 characters with three vowels and 6 consonants. Word splitting yields 3 words: m, acomb, gov. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pastelections.macombgov.org/candidate/2031

Page Load Overview

10.54s
Total Load Time
193
HTTP Requests
18
Domains
3.5 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:532 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
97192.178.183.95Google · CDNUnited States
AS15169Google LLC
9613.216.61.134Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1932--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C731B3B5A50722C8007CD9E9BC17B4D412ED813E526A9DDBE664E12CF8BE8A4F1534F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:83wL9pNktQoNkLgRskZwL7xWlblhEOTtLRRN/lbfkzbefYjNYjDF45sGGE114UzL:5LUHkq/wo5L/Q752tJ6xL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79017:AP6M/soogAPi4AsTBAuQnBuhTBSDUAUKAIpQAAIAwkgHQRG7WyKRDFEQCZoxIJgkDBQIHMAAOgG8WbgRUQQO4MEHJggWJCkH

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:00ffffffff000000
Perceptual Hash:adb61264c16c1bcf
Difference Hash:3c7c4012022b2b7b
Wavelet Hash:00ffffffff000000
Color Hash:#d279a0

Scan History

Scan history not available

Unable to load historical scan data