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Security Scan Report: coopercohealth.gov

Submitted: Nov 13, 2025, 5:35:23 AMCompleted: Nov 13, 2025, 5:36:31 AMpubliccompleted
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Summary

This website contacted 162 IPs in 0 countries across 24 domains to perform 262 HTTP transactions. The main domain is coopercohealth.gov and was registered NaN years ago.

Submitted URL: https://coopercohealth.gov/

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Likely a legitimate public‑health site with low risk due to recent domain registration.

Risk Factors
Domain is less than one year old and unranked in Cisco Umbrella, which can indicate a newer, less established site
Safety Factors
Uses a .gov top‑level domain
No forms collecting passwords, payment, or personal health data
No malicious Indicators of Compromise detected
Content appears to be legitimate public health information for Cooper County, Missouri
Domain age information unavailable

Details

Page Title

Public Health, Boonville, MO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'coopercohealth.gov' uses the United States government-restricted top-level domain (.gov). The core label 'coopercohealth' covers 14 characters holding six vowels versus 8 consonants. Breaking it apart gives 3 words: cooper, co, health. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

16.60s
Total Load Time
262
HTTP Requests
24
Domains
8.6 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:5,743 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
45%
healthcare medical
26%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
101142.250.181.228UnknownUnknown
1142.250.186.129UnknownUnknown
118.66.122.127UnknownUnknown
1142.250.185.206UnknownUnknown
1142.250.186.174UnknownUnknown
1142.250.186.161UnknownUnknown
1142.250.186.170UnknownUnknown
1142.250.185.163UnknownUnknown
1142.250.184.234UnknownUnknown
1216.58.206.46UnknownUnknown
262162--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123F3F8217704202F613382CAFDD3FA88B329E253E65B4AE9FE745431D68DE98667570C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LzlS7AeRYzP3MkzhfG/plm5C2tn/pt7O5XK5IbniK7gFyHRUnYWVbAUVQOtynWe8:/lc7gFyHRUj2UvcnJoihGUSr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:169825:RCTIKEiBuiLCoLAI6DgBLYKEeEInoFAkQQFGUiAA7wgBygEnRhCA1ABghd0NxMWIg9QBmBtAuohIkFGQBHxnAM3hEpBxAhoV

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:ffff0000ffff0000
Perceptual Hash:a8d562f5085ea277
Difference Hash:3194c9f2320e2105
Wavelet Hash:ffff0000ffff0000
Color Hash:#1f935d

Other Hashes

Crop Resistant:3194c9f2320e2105,cc9e8eb6961e3c8e,d4c8e8494db2b272,d4c4b294326b6b33,0820202942050500

Scan History

Scan history not available

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