Security Scan Report: scsolicitor4.gov

Redirected to: https://www.searchhounds.com/articles/drug-alcohol-courses-madd-vip-online-education.html?psystem=PW&domain=scsolicitor4.gov&expId=parking_pw_4396-on

Submitted: Oct 10, 2025, 5:33:50 AMCompleted: Oct 10, 2025, 5:34:22 AMpubliccompleted
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Summary

This website contacted 34 IPs in 3 countries across 14 domains to perform 52 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://scsolicitor4.gov/

Effective URL: https://www.searchhounds.com/articles/drug-alcohol-courses-madd-vip-online-education.html?psystem=PW&domain=scsolicitor4.gov&expId=parking_pw_4396-onRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns

Safety Factors
Well‑established domain registered in 2003
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

adult content

(98%)

Domain Information

The domain 'scsolicitor4.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The registrable portion 'scsolicitor4' spans 12 characters with 4 vowels and 7 consonants, along with one digit. It segments into three words: sc, solicitor, 4. Median word length is two characters. 'sc' most often appears in English. Secondary signals appear in Galician and Romanian.

Screenshot

Security scan screenshot of https://scsolicitor4.gov/

Page Load Overview

1.62s
Total Load Time
52
HTTP Requests
14
Domains
795 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en
Text Length:62,668 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content98% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
98%
education learning
78%
government
48%
government public service
31%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1915.207.2.210Mumbai, Maharashtra, India
AS16509AMAZON-02
113.32.121.127New York, New York, United States
AS16509AMAZON-02
1104.126.37.186Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.53.42.160Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.53.42.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.185.163United States
AS15169GOOGLE
118.66.122.49United States
AS16509AMAZON-02
1142.250.184.234United States
AS15169GOOGLE
1104.126.37.176Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.185.142United States
AS15169GOOGLE
5234--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3A45131F940192FAB3F44C4A74AD70AB1D6A31FF4E90410D5DA07684AE9E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HBhSpyncc0eRbHBTplAjbT5d3hiantUerm0Osute0J1Q/fihTVjoKSFvE0q6PRic:nSp46hi7nMxiY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:471967:BwUAhQcIAAC3QhIMCORMYMqVCIiCQqAMAATeEiQARwMxQwDXYRABBVIwIdERCCtQFlKkOiBBAREqAQgKAImAdgYkeCjAgUCQ

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:0000181818180000
Perceptual Hash:99c9636798369c9c
Difference Hash:2b3332323232221c
Wavelet Hash:bf999cbcbcbc8080
Color Hash:#2d8386

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data