Security Scan Report: roundlakebeachil.gov

Site favicon
Submitted: Nov 4, 2025, 9:55:25 PMCompleted: Nov 4, 2025, 9:56:58 PMpubliccompleted
Loading additional data...

Summary

This website contacted 93 IPs in 2 countries across 15 domains to perform 146 HTTP transactions. The main domain is roundlakebeachil.gov and was registered NaN years ago.

Submitted URL: https://roundlakebeachil.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no security concerns

Safety Factors
Official government domain
Established domain age
No malicious Indicators of Compromise
Standard website functionality only
Domain age information unavailable

Details

Page Title

Welcome to Round Lake Beach, IL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(94%)

Domain Information

Domain 'roundlakebeachil.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Count 16 characters in 'roundlakebeachil' holding 7 vowels versus nine consonants. Splitting it apart reveals four words: round, lake, beach, il. Median word length comes out to 4.5 characters. 'round' most strongly signals Italian. Usage also turns up in French and English contexts. Net impression: Italian phrase.

Screenshot

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

Page Load Overview

53.72s
Total Load Time
146
HTTP Requests
15
Domains
3.9 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:5,608 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service94% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
94%
government
48%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5434.214.80.42Boardman, Oregon, United States
AS16509AMAZON-02
1104.21.68.162United States
AS13335CLOUDFLARENET
1151.101.2.137San Francisco, California, United States
AS54113FASTLY
1142.250.186.163United States
AS15169GOOGLE
135.80.199.240Boardman, Oregon, United States
AS16509AMAZON-02
1104.17.24.14United States
AS13335CLOUDFLARENET
1212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1172.67.74.90United States
AS13335CLOUDFLARENET
1195.181.170.18Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1144.24.35.187Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
14693--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193B3FA31E48C2C3F512B13C861257B26A2DFAB79C70519E57BFB96BA17C2CA46C4F015

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LGbBvPrgqrH3fFR1ojmY6b5CK/HfVc8+W7G:LGbBvUQ3fFC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:109374:EloM3uDNbkKBFg0CkUCpVAgkIMiYxwzigAAgFJZqBgYEoZBhYAFhykpQQMCIigm9sAAZwDkjGmS5GJjBm9QEBigKBFKAUigA

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:00113938fc776e6e
Perceptual Hash:c36b34247b19add2
Difference Hash:3bf171d9c9cedcdc
Wavelet Hash:00113938fc7766fe
Color Hash:#4c783a

Scan History

Scan history not available

Unable to load historical scan data