Security Scan Report: foresttownrcwi.gov

Submitted: Dec 21, 2025, 6:27:40 AMCompleted: Dec 21, 2025, 6:28:54 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 16 domains to perform 57 HTTP transactions. The main domain is foresttownrcwi.gov and was registered NaN years ago.

Submitted URL: https://foresttownrcwi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established government domain
No suspicious redirects or external links
No phishing indicators detected
Domain age information unavailable

Details

Page Title

Town of Forest

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

You're looking at domain 'foresttownrcwi.gov' on the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'foresttownrcwi' covers 14 characters holding 4 vowels versus 10 consonants. Tokenizing the label suggests four words: forest, town, rc, wi. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

34.81s
Total Load Time
57
HTTP Requests
16
Domains
2.6 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:2,412 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
71%
government
48%
news media journalism
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1144.242.79.1Boardman, Oregon, United States
AS16509AMAZON-02
2138.201.199.88Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
279.127.211.89Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.250.74.219United States
AS15169GOOGLE
2185.199.109.153United States
AS54113FASTLY
279.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
237.19.194.81Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2104.17.25.14United States
AS13335CLOUDFLARENET
2172.217.18.27United States
AS15169GOOGLE
2142.251.141.72United States
AS15169GOOGLE
5724--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F743E732A0F0013B145381CC76F57B0AEAA1D10BD76B4959BAFE67584FC7DE14A6F228

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nMFzn1QkIsDpfIIy3jO/8XAXmXAXAXG40k6FAN43U:zjOoOOSAN43U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59032:OFBYbCCBGxGIBQHQGgZmoGgAwQDQNBKABhAY2kIKgilZDSMIBQAsDIbAFSAkWJAqnATAfSnQBViRoMnBAHeiMAlYIDUM5NBh

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:ffff0000002030f1
Perceptual Hash:c2b8c7b5d887f860
Difference Hash:c05d2161c1c5c7c1
Wavelet Hash:ffff1100002133ff
Color Hash:#6c2dd2

Scan History

Scan history not available

Unable to load historical scan data