Security Scan Report: oldtowntownship-il.gov

Submitted: Oct 3, 2025, 4:36:42 PMCompleted: Oct 3, 2025, 4:37:15 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 29 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%

1
Risk Score

Legitimate government site with minimal risk.

Safety Factors
Well‑established domain age
.gov TLD
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
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%)

Screenshot

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

Page Load Overview

6.74s
Total Load Time
29
HTTP Requests
2
Domains
376 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
513.89.172.17Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
523.50.131.157Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.50.131.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
52a02:26f0:3500:18::1724:a28aUnited StatesUnknown
52a02:26f0:3500:18::1724:a298United StatesUnknown
295--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F573291661B628374257019ABEBF7A4E25B98043E149DC14FD6CDF041FC2ED82EF1B9A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CAifb+1+v/MFT1QU10PFVDr3dVVYr6uIgwoIUSX8xPm9+iaPvjG8uPX8:t1LeDrNVVYQOPv28

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79531:DdMGAAggYAdgewKQ3yBoNEAAgIAgyiOAYJAcGdqMAQsaAxjAgsgJcHoyzIlDiRKIALCoEoFbQgGgCQgQIMAOwPYEAP9hQXCA

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:170e4d8e71c5290f
Wavelet Hash:0083e7e70800ffff
Color Hash:#c58887

Scan History

Scan history not available

Unable to load historical scan data