Security Scan Report: townofleonmocowi.gov

Submitted: Oct 7, 2025, 1:53:58 PMCompleted: Oct 7, 2025, 1:55:03 PMpubliccompleted
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Summary

This website contacted 37 IPs in 1 country across 9 domains to perform 76 HTTP transactions. The main domain is townofleonmocowi.gov and was registered NaN years ago.

Submitted URL: https://townofleonmocowi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government website with no security concerns.

Safety Factors
Valid .gov domain indicating government ownership
Established domain age (> 365 days)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Home - Town of Leon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'townofleonmocowi.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 16 characters in 'townofleonmocowi' with seven vowels and nine consonants. It segments into 6 words: town, of, leon, mo, cow, i. Average segment length settles at 2.5 characters. Most frequently, 'town' shows up in Chinese (Pinyin). Usage also turns up in English and Croatian contexts.

Screenshot

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

Page Load Overview

7.80s
Total Load Time
76
HTTP Requests
9
Domains
848 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:1,522 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
corporate
35%
government public service
31%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.21.94.183United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
2151.101.1.229San Francisco, California, United States
AS54113FASTLY
2104.21.37.116United States
AS13335CLOUDFLARENET
2172.67.139.122United States
AS13335CLOUDFLARENET
2142.250.181.232United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
2104.17.25.14United States
AS13335CLOUDFLARENET
2172.67.207.213United States
AS13335CLOUDFLARENET
2216.58.206.42United States
AS15169GOOGLE
7637--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E683F8F1D6CC1437210BA6D8A0557608BEA9E137CF418E95B2FC265D9FC8FFA4867218

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9H8UrPapHkv1B4esjQfNUz72Ju7NgBVKlYoXuW6Xz4yV7KmmKVXHbr9eZrpEcSG:9H83ev1B4esjQfNMNg0YZreKVXHbr9+B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85148:dWVdBwBQFq40UEGnJyYDY0RlgAQQCVBFRigAAmjAUEKiJABACjkwMIAhwKcoCMADhAQoMjK98qjuKr4g5CVeKSLjRkpGBEYI

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:ff0000000000ffff
Perceptual Hash:aa63d543aae14379
Difference Hash:c723313521cd9c30
Wavelet Hash:ffff00000000ffff
Color Hash:#7f2dd2

Scan History

Scan history not available

Unable to load historical scan data