ScanMalware.com

Security Scan Report: knottcountyky.gov

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/4ef87bc0-a769-473a-b14d-af99ffe06481Domain and IP registration (RDAP)/api/v1/rdap/4ef87bc0-a769-473a-b14d-af99ffe06481How often this domain was scanned/api/v1/domain/stats/knottcountyky.govScan history for this domain/api/v1/domain/history/knottcountyky.gov?limit=15
This website contacted 17 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is knottcountyky.gov and was registered 3 years 2 months ago.

Submitted URL: https://knottcountyky.gov/

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Site appears legitimate; minor redirect issue but no malicious activity.

Risk Factors (1)
Circular redirect detected (potentially suspicious configuration)
Safety Factors (4)
Government (.gov) domain
Established domain age (>2 years)
No forms collecting credentials or payment information
Page returns 403 Forbidden, indicating restricted access
Domain age information unavailable

Details

Page Title

Knott County Fiscal Courtother network

Scan Type

public

Domain Name Analysis

The domain 'knottcountyky.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'knottcountyky' stretches across 13 characters holding 3 vowels versus 10 consonants. Word splitting yields three words: knott, county, ky. Average segment length settles at five characters. The linguistic tilt is Vietnamese for 'knott'. You will also see it in Norwegian and English contexts. Net impression: Vietnamese phrase.

Screenshot

Security scan screenshot of https://knottcountyky.gov/

Page Load Overview

10.15s
Total Load Time
122 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
adult content
42%
documentation technical
37%
news media journalism
33%
blog personal website
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0142.250.186.163United States
AS15169GOOGLE
0108.138.2.142United States
AS16509AMAZON-02
0142.250.185.170United States
AS15169GOOGLE
0108.138.2.71United States
AS16509AMAZON-02
035.212.76.217Washington, District of Columbia, United States
AS15169GOOGLE
02600:9000:2490:f400:5:acf3:db40:21United States
AS16509AMAZON-02
02a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02600:9000:2490:8e00:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:c000:5:acf3:db40:21United States
AS16509AMAZON-02
02600:9000:2490:1600:5:acf3:db40:21United States
AS16509AMAZON-02
1017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E73E1DD37600ED8CC9687D2673821493487B4EDE4504951F29E2BE4FF8B69D4AE068F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9IQS0tz0jiTbitkDfLMerF89xSuvcOKNGYUxYo3myMRdQmy:9r/itkDfLKKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80656:UgABACUEVARyooAEaoMDTQOIAAmvRiAfMFKgCkqFaCmuIqOIAEwYREhgAYQCVizUoCIQxWgkUqAwAgBICOgK9tAFiNAEFpsG

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:0000000000ffffff
Perceptual Hash:dd029bdd22b27d22
Difference Hash:11310a4d32320022
Wavelet Hash:081808009affffff
Color Hash:#87abc5

Other Hashes

Crop Resistant:11310a4d32320022

Scan History

Scan history not available

Unable to load historical scan data