Security Scan Report: dekalbcountymo.gov

Redirected to: https://www.searchhounds.com/articles/senior-driver-license-renewal-in-california-new.html?psystem=PW&domain=dekalbcountymo.gov&expId=parking_pw_4537_gdads-rsoc

Submitted: Dec 7, 2025, 2:51:15 PMCompleted: Dec 7, 2025, 2:51:39 PMpubliccompleted
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Summary

This website contacted 32 IPs in 4 countries across 13 domains to perform 54 HTTP transactions. The main domain is searchhounds.com.

Submitted URL: https://dekalbcountymo.gov/

Effective URL: https://www.searchhounds.com/articles/senior-driver-license-renewal-in-california-new.html?psystem=PW&domain=dekalbcountymo.gov&expId=parking_pw_4537_gdads-rsocRedirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows low risk but limited trust due to new, unranked domain and low legitimacy score.

Risk Factors
New or unknown domain age
Unranked domain in Cisco Umbrella
Low legitimacy score
Domain appears to be parked and then redirected
Safety Factors
No password or payment fields present
No malicious Indicators of Compromise detected
Content is informational and does not impersonate a known brand
Domain age information unavailable

Details

Page Title

Senior Driver License Renewal in California: New 2025 Rules | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'dekalbcountymo.gov' on the United States government-restricted top-level domain (.gov) without a subdomain. Count 14 characters in 'dekalbcountymo' with five vowels and nine consonants. Segmentation suggests three words: dekalb, county, mo. Median word length comes out to six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.95s
Total Load Time
54
HTTP Requests
13
Domains
843 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:61,610 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: static
Method: ml+structural

All Detected Categories

government
48%
real estate property
29%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2323.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.32.121.127New York, New York, United States
AS16509AMAZON-02
1104.126.37.176Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13.7.151.230Mumbai, Maharashtra, India
AS16509AMAZON-02
165.8.131.53United States
AS16509AMAZON-02
13.6.73.168Mumbai, Maharashtra, India
AS16509AMAZON-02
13.33.130.190United States
AS16509AMAZON-02
174.125.29.95United States
AS15169GOOGLE
165.8.131.22United States
AS16509AMAZON-02
1142.250.185.162United States
AS15169GOOGLE
5432--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AFA45131F840192FAB3F44C4A74AD71AB1D6A31FF4E90410D5DA07684AE9E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hwpyRce02Nd9PPplAzbTnd3hianxUerm0Osute0J1Q/RihTVjoKSFvE0q6PRibBN:hwpQ8hiznM17Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:470856:RHkARAgB4KiuGAeYCEggXEQQBRCgNJaLPZAdJgQwSRJiUQBT0ipjeAqwBJZZjEChRjIyiwIdAIDmCqgADsARWQAOIGCAQbGI

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:00081c3c3c3c0000
Perceptual Hash:d9c963e318b61c9c
Difference Hash:3b33323232b22317
Wavelet Hash:bf98bebcbcbe0000
Color Hash:#3a2d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data