Security Scan Report: forestparkok.gov

Submitted: Oct 17, 2025, 10:07:05 PMCompleted: Oct 17, 2025, 10:07:59 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 7 domains to perform 77 HTTP transactions. The main domain is forestparkok.gov and was registered NaN years ago.

Submitted URL: https://forestparkok.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government (.gov) domain
No suspicious forms or content
No external malicious links
Domain age information unavailable

Details

Page Title

Forest Park, OK

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(82%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'forestparkok.gov' is registered and has no subdomain. The registrable portion 'forestparkok' spans 12 characters holding 4 vowels versus 8 consonants. Word splitting yields three words: forest, park, ok. Median word length is four characters. 'forest' is most common in Italian usage. Usage also turns up in Norwegian and Bosnian contexts. Net impression: Italian phrase.

Screenshot

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

Page Load Overview

28.39s
Total Load Time
77
HTTP Requests
7
Domains
5.2 MB
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:5,091 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
82%
real estate property
53%
government
48%
documentation technical
29%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15172.64.147.188United States
AS13335CLOUDFLARENET
2142.250.186.138United States
AS15169GOOGLE
234.231.125.22Ashburn, Virginia, United States
AS14618AMAZON-AES
2172.217.18.3United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
2104.18.40.68United States
AS13335CLOUDFLARENET
2142.250.185.234United States
AS15169GOOGLE
2104.17.25.14United States
AS13335CLOUDFLARENET
22606:4700:4408::6812:2844United States
AS13335CLOUDFLARENET
2142.250.184.202United States
AS15169GOOGLE
7732--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F1396A18481543F1277A3C131B56F6962D3251EE91714204BFAC3FE9BEFEC0AD2916E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Opo8BqmrE3mBpdxr6fKfOEZ0/6P3mBlghxP6YxffOSkfRR/kcCmagyhMLcxVYAbU:yqmQ0jmg0+kfRR/kcCmagyhML8VPlm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44169:9dwkFiAF2iAyKmgAyBwIoQBAtGwiaYEkYgLlUJVAQaAMAFEFLASTykLqgNqRcIBRiCIbdQFmxOMoTAxgCjRBRBzAGIJxAEKC

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:ffff800000000081
Perceptual Hash:af85bf416a707854
Difference Hash:71403655d195455d
Wavelet Hash:ffffff00000000ff
Color Hash:#aae06c

Scan History

Scan history not available

Unable to load historical scan data