Security Scan Report: oklahomacountydc.gov

Redirected to: https://www.searchhounds.com/articles/central-bank-digital-currencies-the-future-of.html?psystem=PW&domain=oklahomacountydc.gov

Submitted: Dec 20, 2025, 10:52:25 PMCompleted: Dec 20, 2025, 10:53:10 PMpubliccompleted
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Summary

This website contacted 20 IPs in 3 countries across 13 domains to perform 57 HTTP transactions. The main domain is searchhounds.com and was registered NaN years ago.

Submitted URL: https://oklahomacountydc.gov/

Effective URL: https://www.searchhounds.com/articles/central-bank-digital-currencies-the-future-of.html?psystem=PW&domain=oklahomacountydc.govRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site shows no security concerns and is considered legitimate.

Safety Factors
Well‑established domain age
No credential or payment collection
No malicious Indicators of Compromise
Content appears to be a standard informational/parked page
Domain age information unavailable

Details

Page Title

CDL Training Programs: Your Gateway to a Rewarding Transportation Career | SearchHounds

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(60%)

Domain Information

The domain 'oklahomacountydc.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'oklahomacountydc' spans 16 characters holding six vowels versus ten consonants. Breaking it apart gives 3 words: oklahoma, county, dc. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.51s
Total Load Time
57
HTTP Requests
13
Domains
846 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:61,845 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
finance banking
58%
cryptocurrency blockchain
55%
government
48%
government public service
41%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1913.202.41.98Mumbai, Maharashtra, India
AS16509AMAZON-02
22.23.7.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
295.100.110.21Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2216.58.210.162United States
AS15169GOOGLE
2216.58.209.164United States
AS15169GOOGLE
2142.251.38.66United States
AS15169GOOGLE
2142.251.38.68United States
AS15169GOOGLE
23.6.223.233Mumbai, Maharashtra, India
AS16509AMAZON-02
22.23.7.49Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
218.165.122.28United States
AS16509AMAZON-02
5720--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137925C3AF110393A31B3C3ACF5A2FA95623D9018925A4168744D57AE4BDEFC68433B6D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gam6pTam4jcc8+cmaVRMEDnwwTZHtQamHTB/VvC24amkamnIWRDkDS:gZ2TZ4jcFZHtQ/zB/VvukZIC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20929:EIwhAfK0YQOjCxNKzGCxGlQ1kAgDAITwFgmUAgcKAR5ANQQEUhLKECAHEwQGoADLuQDAlSGWCgAYyUJBecUCRh4BhPhB4iWy

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:99d98383838383ff
Perceptual Hash:fd49c928863696b6
Difference Hash:3333262e26322760
Wavelet Hash:ff988282838383ff
Color Hash:#e09a6c

Other Hashes

Crop Resistant:3333262e26322760

Scan History

Scan history not available

Unable to load historical scan data