Security Scan Report: leolawi.gov

Submitted: Oct 7, 2025, 10:23:56 AMCompleted: Oct 7, 2025, 10:25:11 AMpubliccompleted
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Summary

This website contacted 99 IPs in 2 countries across 17 domains to perform 62 HTTP transactions. The main domain is leolawi.gov and was registered NaN years ago.

Submitted URL: https://leolawi.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate town website with no security concerns

Safety Factors
Established government domain (leolawi.gov)
Standard contact and subscription forms only
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Town of Leola

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(74%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'leolawi.gov' is registered and has no subdomain. The registrable portion 'leolawi' spans 7 characters split between four vowels and three consonants. Segmentation suggests two words: leola, wi. Median word length is 3.5 characters. 'lola' is most common in Danish usage. It also appears in German and English contexts.

Screenshot

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

Page Load Overview

26.92s
Total Load Time
62
HTTP Requests
17
Domains
1.7 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:2,576 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
news media journalism
49%
government
48%
blog personal website
30%
technology software
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
62212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0142.250.186.147United States
AS15169GOOGLE
0142.250.185.155United States
AS15169GOOGLE
044.225.74.15Boardman, Oregon, United States
AS16509AMAZON-02
0104.17.24.14United States
AS13335CLOUDFLARENET
0142.250.186.67United States
AS15169GOOGLE
0172.217.16.219United States
AS15169GOOGLE
037.19.194.81Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0104.18.34.201United States
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
6299--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F333C93264F0013B1493908C75E5AB0FEAA1D20BD66B498975FD77548FC7DD28EBB228

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:fAIz06E0k0n1QeaEHaovEKxOXGHaIwCi/yeEHNRkCBDScII0Wg8uDDvUzNOPoP1n:M2zn1QF2RkCJScII0h8uDjU0AN4U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54420:cCJBhjEgqQouEMcBEGSk2OaNHMPoHgFC4gKYEQEQAhYSWAwZSIOwckIEAGAIEgIUTC8oACgAJIBMAAggQNJUHCQMgyrICpVt

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:ff0038100000ffff
Perceptual Hash:ce02ed339cd358a3
Difference Hash:79e5f1e1657d2333
Wavelet Hash:ff103c1c0000ffff
Color Hash:#d279a4

Scan History

Scan history not available

Unable to load historical scan data