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Security Scan Report: www.iredellcountync.gov

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Submitted: Sep 10, 2026, 12:57:53 PMCompleted: Sep 10, 2026, 12:59:22 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a3ac0ef7-3f8c-406e-8538-8c9ef396fcbbDomain and IP registration (RDAP)/api/v1/rdap/a3ac0ef7-3f8c-406e-8538-8c9ef396fcbbCertificate Transparency/api/v1/ct/iredellcountync.govHow often this domain was scanned/api/v1/domain/stats/iredellcountync.govScan history for this domain/api/v1/domain/history/iredellcountync.gov?limit=15

This website contacted 12 IPs in 1 country across 12 domains to perform 62 HTTP transactions. The main domain is iredellcountync.gov and was registered 31 years ago.

Submitted URL: https://www.iredellcountync.gov/1768/History-of-9-1-1

The Cisco Umbrella rank of the primary domain is #611,164 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page is a legitimate government informational site with no malicious indicators.

Safety Factors
Established government domain
Physical address visible
No malicious scripts or external threats
Domain age information unavailable

Details

Page Title

History of 9-1-1 | Iredell County, NC

Scan Type

public

Domain Name Analysis

Within the United States government-restricted top-level domain (.gov), 'www.iredellcountync.gov' is registered and includes subdomain 'www'. The core label 'iredellcountync' covers 15 characters split between 5 vowels and 10 consonants. Segmentation suggests 3 words: iredell, county, nc. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iredellcountync.gov/1768/History-of-9-1-1

Page Load Overview

3.27s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,399 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
40%
news media journalism
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.127.97Google · CDNUnited States
AS15169Google LLC
5150.171.109.194Azure · CLOUDUnited States
AS8075Microsoft Corporation
5208.90.189.139United States
AS393775IP Pathways, LLC
53.174.46.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5192.178.183.102Google · CDNUnited States
AS15169Google LLC
5192.178.183.94Google · CDNUnited States
AS15169Google LLC
5142.251.13.95Google · CDNUnited States
AS15169Google LLC
5216.239.32.36Google · CDNUnited States
AS15169Google LLC
5192.178.170.95Google · CDNUnited States
AS15169Google LLC
53.174.46.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DC1BAA5ABDD542E89607032957AF3DC327E453070069D02FC9C64682CD0EDFC96AEBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TfIAOec5fm0uFj0kgwi7LjODa7pJBppzGWW2ed0qcaZZ4V57p77dOHavRw8dx5Hy:LIH77uFDg572CpZG0qcaZglnCAr75Hy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6063:IjgRDAwQw0VQAoRlIQECoIQgCRCzEjDBwQMIRQ6AZIgVAAAwYgMMwAAohAMHVxiQPEQaABWMAGVgBggaIIeL4AAAysICBAEJ

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:7c7fff61e3e1e3e3
Perceptual Hash:c116024253577fdf
Difference Hash:d4c65cd3d3938696
Wavelet Hash:7c7fff4161414360
Color Hash:#934a1f

Other Hashes

Crop Resistant:d4c65cd3d3938696,f2f2779aca86e80f

Scan History

Scan history not available

Unable to load historical scan data