Security Scan Report: cityofchesterpapolice.gov

Redirected to: https://www.searchhounds.com/articles/drug-alcohol-courses-madd-vip-online-education.html?psystem=PW&domain=cityofchesterpapolice.gov&expId=parking_pw_4537_gdads-rsoc

Submitted: Dec 5, 2025, 3:56:34 AMCompleted: Dec 5, 2025, 3:57:38 AMpubliccompleted
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Summary

This website contacted 31 IPs in 3 countries across 13 domains to perform 56 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://cityofchesterpapolice.gov/

Effective URL: https://www.searchhounds.com/articles/drug-alcohol-courses-madd-vip-online-education.html?psystem=PW&domain=cityofchesterpapolice.gov&expId=parking_pw_4537_gdads-rsocRedirected

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Site shows low risk but is a recent, unranked domain with limited legitimacy signals.

Risk Factors
Recent domain registration (< 180 days)
Low legitimacy signals
Unranked domain in Cisco Umbrella
Safety Factors
No malicious Indicators of Compromise detected
No password or payment collection forms
Content appears benign and informational
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

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'cityofchesterpapolice.gov' uses the United States government-restricted top-level domain (.gov). Count 21 characters in 'cityofchesterpapolice' with eight vowels and 13 consonants. Breaking it apart gives 5 words: city, of, chester, pa, police. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.60s
Total Load Time
56
HTTP Requests
13
Domains
953 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:62,800 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
other
31%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2613.32.121.112New York, New York, United States
AS16509AMAZON-02
1323.3.88.8Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6142.250.185.206United States
AS15169GOOGLE
6142.250.185.161United States
AS15169GOOGLE
5142.250.185.227United States
AS15169GOOGLE
4142.250.186.162United States
AS15169GOOGLE
4142.251.140.162United States
AS15169GOOGLE
495.100.135.66Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
465.8.131.53United States
AS16509AMAZON-02
215.197.148.33United States
AS16509AMAZON-02
5631--

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:JBxwpyRce02Nd9PPplAzbTnd3hianxUerm0Osute0J1Q/RihTVjoKSFvE0q6PRin:5wpQ8hiznMK0Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:472965:IDQhSCoGK0QCaOaAzYCEiXrVFKEkBIAwIQgSoSWBUQkV4kFSoSrLCBDWRAmAsommMHIAEkggAxE8SJBUCC6IBNDMAIsBKBK3

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:99c963639c369c9c
Difference Hash:3b33323232322204
Wavelet Hash:bf899cbcbcbc8082
Color Hash:#483a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data