Security Scan Report: lccwillcounty.gov

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Submitted: Dec 11, 2025, 12:40:47 PMCompleted: Dec 11, 2025, 12:41:34 PMpubliccompleted
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Summary

This website contacted 25 IPs in 3 countries across 8 domains to perform 59 HTTP transactions. The main domain is lccwillcounty.gov and was registered NaN years ago.

Submitted URL: https://lccwillcounty.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
Established domain age
No suspicious external links
Domain age information unavailable

Details

Page Title

911 Center Will County

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(85%)

Domain Information

You're looking at domain 'lccwillcounty.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. Count 13 characters in 'lccwillcounty' split between 3 vowels and ten consonants. Word splitting yields 3 words: lcc, will, county. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.42s
Total Load Time
59
HTTP Requests
8
Domains
2.3 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-US
Text Length:2,773 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
85%
healthcare medical
62%
government
48%
adult content
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11142.251.141.110United States
AS15169GOOGLE
2142.250.185.227United States
AS15169GOOGLE
2142.251.173.154United States
AS15169GOOGLE
264.68.191.193Aberdeen, South Dakota, United States
AS14955N-V-C
218.245.86.42United States
AS16509AMAZON-02
2142.250.186.106United States
AS15169GOOGLE
213.32.121.13New York, New York, United States
AS16509AMAZON-02
213.32.121.87New York, New York, United States
AS16509AMAZON-02
2216.58.206.72United States
AS15169GOOGLE
218.245.86.99United States
AS16509AMAZON-02
5925--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136A31A728D9844374263C5C6F1B0BF1960C7824FDA0B6853B6EC8B6A5FD7ED19C1628E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aQ0xNmlFIWPm4y42TYj6LWYAArhCrd82gFAa4Pfu5pxQz9WIIIi/N9OeVkgk856V:fyZTYj6cqhKtgFAa5Yf4cryjRY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100854:FAIQBAVQomDzhaAzAESsZ8EBI1BLGCgVDwiJs2nFDJKKQCDEYQISQDABRoEAYKjMFDjEKCSStRMBIEAKgEABogtJDJSY2MeC

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:ffffebc1c18181db
Perceptual Hash:e9d69628c36fd190
Difference Hash:2b200b0b0b0b2b33
Wavelet Hash:ffffc381818181c3
Color Hash:#a4e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data