Security Scan Report: foresttownrcwi.gov

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Submitted: Oct 28, 2025, 6:26:12 AMCompleted: Oct 28, 2025, 6:29:24 AMpubliccompleted
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Summary

This website contacted 100 IPs in 2 countries across 15 domains to perform 58 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

Site appears legitimate with no security concerns.

Safety Factors
Official government domain ( .gov )
Established domain age (>3 years)
No suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Town of Forest

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'foresttownrcwi.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'foresttownrcwi' is 14 characters long with 4 vowels and ten consonants. Word splitting yields four words: forest, town, rc, wi. The median word length lands at three characters. 'forest' most often appears in English. It also appears in Vietnamese and German contexts.

Screenshot

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

Page Load Overview

7.78s
Total Load Time
58
HTTP Requests
15
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:2,245 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
news media journalism
46%
government public service
44%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
58104.18.34.201United States
AS13335CLOUDFLARENET
12104.17.25.14United States
AS13335CLOUDFLARENET
9212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
8188.114.97.3United States
AS13335CLOUDFLARENET
6216.58.212.155United States
AS15169GOOGLE
4216.58.206.42United States
AS15169GOOGLE
4216.58.206.35United States
AS15169GOOGLE
352.36.128.106Boardman, Oregon, United States
AS16509AMAZON-02
3104.16.174.226United States
AS13335CLOUDFLARENET
2216.239.32.36United States
AS15169GOOGLE
58100--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D043EA3260F1013B24A340CC76E57B1EEA91D60BD757498476FE67988FCBDD14E6B228

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XMizn1QbIsZ9fII85IhEUEkEUEUELuF0m8bAN4F:DRhRRRAN4F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57920:lNMEiQClxYAwAETkLBgEwApEAABFqrgkAkCABKBstAKEAUABAFqHB1FFaCARq4JBWEkAESCwIEGlCAADSoshKRDIiFkwCAMV

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:ff00001000ffffff
Perceptual Hash:cc42b9b39c8b94e3
Difference Hash:69c0e3e3e3e43333
Wavelet Hash:ff000010007fffff
Color Hash:#bf9740

Scan History

Scan history not available

Unable to load historical scan data