Security Scan Report: foresttownrcwi.gov

Submitted: Nov 17, 2025, 1:36:03 PMCompleted: Nov 17, 2025, 1:38:00 PMpubliccompleted
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Summary

This website contacted 103 IPs in 0 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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age of 1193 days (well established)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

Town of Forest

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Domain 'foresttownrcwi.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'foresttownrcwi' spans 14 characters split between four vowels and ten consonants. Splitting it apart reveals four words: forest, town, rc, wi. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

68.76s
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:1,720 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57104.17.25.14UnknownUnknown
0142.250.74.211UnknownUnknown
0104.18.34.201UnknownUnknown
0142.250.185.131UnknownUnknown
037.19.194.81UnknownUnknown
0142.250.186.106UnknownUnknown
0216.58.212.155UnknownUnknown
0142.250.181.227UnknownUnknown
0142.250.181.234UnknownUnknown
079.127.211.89UnknownUnknown
57103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12823D772A4A1013B2463508C71E6AB0EB6A1D20FD7274985BAFE73584FC7DD15A7F328

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bAIzuMLz0k0n1QeayHaovEKxOXGHaIwpS/yFI+dZSfIIyK5tzAs6R0m89OPoP1P8:aMEzn1Q9IsZSfIIJ5tEXR0m8wAN4VmQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46026:CMSjgsAwAiYEZkUAAkEUmQFG8AINCCAAiyp4MrogRiGM4YREFAEJgHSbzCCTEdicKACGBAFgBZHAUQSAcwROA8SqAgaCKjUa

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:ff000010003effff
Perceptual Hash:cc16f1b68ca994e3
Difference Hash:69c0e3e3e3a413c3
Wavelet Hash:ff000010007fffff
Color Hash:#2d6cd2

Scan History

Scan history not available

Unable to load historical scan data