Security Scan Report: oldtowntownship-il.gov

Submitted: Oct 26, 2025, 12:26:01 AMCompleted: Oct 26, 2025, 12:26:53 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 31 HTTP transactions. The main domain is oldtowntownship-il.gov and was registered NaN years ago.

Submitted URL: https://oldtowntownship-il.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 (>2 years)
No suspicious forms or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Old Town Township - Welcome to Old Town Township, Illinois

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

You're looking at domain 'oldtowntownship-il.gov' on the United States government-restricted top-level domain (.gov). The registrable portion 'oldtowntownship-il' spans 18 characters with 5 vowels and 12 consonants, plus 1 hyphen. Word splitting yields three words: oldtown, township, il. Median word length is seven characters. The linguistic tilt is Italian for 'il'. You may catch it in French and Chinese (Pinyin) as well. Taken together, it feels Italian with character flair.

Screenshot

Security scan screenshot of https://oldtowntownship-il.gov/

Page Load Overview

13.31s
Total Load Time
31
HTTP Requests
2
Domains
426 KB
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:1,714 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
technology software
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.89.172.17Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
623.36.162.203Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
623.36.162.197Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
62a02:26f0:3500:18::1724:a28aFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
62a02:26f0:3500:18::1724:a298Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
315--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F583291561B628374257019ABFBF7A4935B88047E1499C24FD6CDE081FC2EE82EF179E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Cvifb6ki4/MFTmQUh0PFVDrEmVVYr6WEgwoIUSX8xPmz+iaPvjG8uPX8:EMneDrnVVYOOPv28

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84863:pDHopUCKkEjM6kq4JIASzojDIw4WEyAGqISINEMwNyAqwIgikBrEREAkACUQBsVEAIFqSBEIlEph1VuCECAw2tWXcGkgJZmZ

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:008324e70000ffff
Perceptual Hash:b637ad4d298342da
Difference Hash:170e4d8e79c12816
Wavelet Hash:0083e7e70800ffff
Color Hash:#2d4386

Scan History

Scan history not available

Unable to load historical scan data