adult content

education learning

government

government public service

corporate

English

FCCDCF

Domain 'hennikernh.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Count 10 characters in 'hennikernh' holding three vowels versus seven consonants. Breaking it apart gives 4 words: henn, i, kern, h. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

html/d9/ec/d9ecbdc3-c743-44c4-8eeb-09947f84486a_fallback.html.gz

query

html/d9/ec/d9ecbdc3-c743-44c4-8eeb-09947f84486a.html.gz

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viewport


            Drug and alcohol education courses have evolved significantly with the introduction of online platforms, particularly through programs like MADD VIP (Mothers Against Drunk Driving Victim Impact Panel) courses. These educational initiatives combine evidence-based curriculum with powerful personal testimonies to create transformative learning experiences that address substance abuse prevention, legal consequences, and community impact. As an education expert, I've observed how these digital platforms make critical safety education more accessible while maintaining the emotional depth and educational rigor necessary for meaningful behavior change.
        

description

search directory, automotive & dmv services, education & professional development, entertainment & media, personal finance & money management, insurance planning & coverage guide, investment strategies & portfolio management, medical & healthcare guide, real estate guide & market insights, food & restaurant guide, shopping & consumer guides, amazing travel destinations

keywords

google-adsense-account

Drug and Alcohol Education Courses: Understanding MADD VIP Online Programs for Impactful Learning | SearchHounds

generator

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HSTS header missing - vulnerable to protocol downgrade attacks

CSP header missing - vulnerable to XSS attacks

child-src https:  chrome-untrusted://new-tab-page/ chrome-untrusted://ntp-microsoft-auth/;connect-src chrome://resources chrome://theme 'self';default-src 'self';font-src chrome://resources 'self';img-src chrome://resources chrome://theme chrome://image chrome://favicon2 chrome://app-icon chrome://extension-icon chrome://fileicon blob: data: 'self';object-src 'none';require-trusted-types-for 'script';script-src chrome://resources chrome://webui-test 'self';style-src chrome://resources chrome://theme 'self' 'unsafe-inline';trusted-types parse-html-subset sanitize-inner-html static-types webui-test-script webui-test-html polymer-html-literal polymer-template-event-attribute-policy lit-html-desktop;frame-ancestors 'none';

child-src 'none';object-src 'none';require-trusted-types-for 'script';script-src chrome://resources 'self';trusted-types;worker-src blob: 'self';frame-ancestors 'none';

base-uri 'none';child-src https:;form-action https://ogs.google.com https://*.corp.google.com;object-src 'none';script-src 'self' 'unsafe-inline' https:;frame-ancestors chrome://new-tab-page/

child-src 'none';object-src 'none';require-trusted-types-for 'script';script-src chrome://resources 'self';trusted-types;frame-ancestors 'none';

GoDaddy.com, LLC

SEARCHHOUNDS.COM

hennikernh.gov

Amazon EC2 Abuse

IP Management

Amazon AWS Network Operations

Amazon Technologies Inc.

AWS RPKI Management POC

IP Routing

Amazon EC2 Network Operations

AT-88-Z


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Requests	IP Address	Location	AS Autonomous System
28	3.164.240.9	Unknown	Unknown
15	184.86.103.215	Unknown	Unknown
6	216.58.209.206	Unknown	Unknown
6	216.58.209.193	Unknown	Unknown
6	142.251.38.67	Unknown	Unknown
4	142.251.38.66	Unknown	Unknown
4	216.58.209.162	Unknown	Unknown
4	95.100.135.66	Unknown	Unknown
2	15.197.148.33	Unknown	Unknown
2	216.58.209.170	Unknown	Unknown
58	31	-	-

Security Scan Report: hennikernh.gov

Summary

AI Security Verdict

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History