Security Scan Report: parkhillsmo.gov

Redirected to: https://parkhillsmo.gov/lander

Submitted: Nov 25, 2025, 7:34:57 AMCompleted: Nov 25, 2025, 7:37:13 AMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 10 domains to perform 27 HTTP transactions. The main domain is parkhillsmo.gov and was registered NaN years ago.

Submitted URL: https://parkhillsmo.gov/

Effective URL: https://parkhillsmo.gov/landerRedirected

AI Security Verdict

Safe Website

Confidence: 72%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age (>1 year)
Absence of login or payment forms
No malicious Indicators of Compromise detected
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(54%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'parkhillsmo.gov' is registered and has no subdomain. Count 11 characters in 'parkhillsmo' holding 3 vowels versus eight consonants. Word splitting yields 3 words: park, hills, mo. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.66s
Total Load Time
27
HTTP Requests
10
Domains
501 KB
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:1,214 chars
Detector Agreement:50%

Website Classification

Primary Category

corporate business54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
54%
government
48%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1165.8.131.17United States
AS16509AMAZON-02
423.53.42.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.250.185.129United States
AS15169GOOGLE
2142.250.74.194United States
AS15169GOOGLE
215.197.172.60United States
AS16509AMAZON-02
165.8.131.53United States
AS16509AMAZON-02
1142.250.184.194United States
AS15169GOOGLE
113.32.121.61New York, New York, United States
AS16509AMAZON-02
165.8.131.22United States
AS16509AMAZON-02
165.8.131.115United States
AS16509AMAZON-02
2723--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1159253265DA3173D5DCBC05CABD46B1A32775026E64BE4983EAE0270C3CFE9088D17E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:49hcVAEmWoRrSupl0XvUXvUNvUyfjK06TvUWpttKvUitvUbT0fUWfUd0fU1fURfN:6r065Do8blc0MmY4Jh64Jhh/T2qa9b9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19454:RwYRARGOOAimPMSAADQiR5UkIQJA4IAQRiJJBCyhpNOCsABRxhUNZMCUSABJGoKgBBisTYBoBg4sZBACHHGADGUJAKBpQMuq

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:003c3c3c00000000
Perceptual Hash:9b9b31646464c677
Difference Hash:1671697106200000
Wavelet Hash:1c3c3c3c3c040000
Color Hash:#8b79d2

Scan History

Scan history not available

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