Security Scan Report: coopercohealth.gov

Submitted: Dec 24, 2025, 4:14:25 PMCompleted: Dec 24, 2025, 4:18:36 PMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 14 domains to perform 52 HTTP transactions. The main domain is coopercohealth.gov and was registered NaN years ago.

Submitted URL: https://coopercohealth.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (.gov)
Established domain age
No suspicious forms or content
Domain age information unavailable

Details

Page Title

Public Health, Boonville, MO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

The domain '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. Splitting it apart reveals 3 words: cooper, co, health. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

248.01s
Total Load Time
52
HTTP Requests
13
Domains
836 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:5,423 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
healthcare medical
59%
government
48%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.164.206.67United States
AS16509AMAZON-02
2216.58.210.142United States
AS15169GOOGLE
251.159.155.164Paris, Île-de-France, France
AS12876Scaleway S.a.s.
2216.58.210.168United States
AS15169GOOGLE
23.164.206.18United States
AS16509AMAZON-02
213.33.235.122New York, New York, United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
23.164.206.39United States
AS16509AMAZON-02
2142.251.38.67United States
AS15169GOOGLE
23.164.206.44United States
AS16509AMAZON-02
5220--

Detected Technologies2

100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195F3F8217704202F613342CAFED3FA88B329E253E65B4AE9FE745431D68DA9C667570C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KnlS7ZeRYvP3MkzhfG/plm5C2tn/pt7O5XK5IbniK7gFyHRUn4WRAU8rQOtynAeS:ol77gFyHRUDOUqcnSoihGUS2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:170046:JIAFQyoUQQFFCmVRIbCkdKAVGEHYKTZCwHQYCBJEGYhDgAkBAZkgug84HoR8hkjAAcLEFBxqA0lwA4ZUCgKSglBOggJGbYhA

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:aad54af52d43e254
Difference Hash:31d4c952160e2105
Wavelet Hash:ffff0000ffff0000
Color Hash:#48bf40

Scan History

Scan history not available

Unable to load historical scan data