Security Scan Report: www.townoflakecityco.gov

Submitted: Nov 23, 2025, 9:51:16 PMCompleted: Nov 23, 2025, 9:53:29 PMpubliccompleted
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Summary

This website contacted 28 IPs in 2 countries across 9 domains to perform 29 HTTP transactions. The main domain is townoflakecityco.gov and was registered NaN years ago.

Submitted URL: https://www.townoflakecityco.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age > 1 year (well‑established)
No malicious Indicators of Compromise matches
No credential or payment forms detected
No brand impersonation or typoesquatting observed
Domain age information unavailable

Details

Page Title

Homepage Town of Lake City

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(82%)

Domain Information

The domain name 'www.townoflakecityco.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Count 16 characters in 'townoflakecityco' holding 6 vowels versus ten consonants. Splitting it apart reveals five words: town, of, lake, city, co. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.townoflakecityco.gov/

Page Load Overview

4.80s
Total Load Time
29
HTTP Requests
9
Domains
628 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
Text Length:2,575 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
82%
real estate property
61%
government
48%
forum community discussion
35%
travel tourism
33%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
534.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
4162.247.243.29United States
AS54113FASTLY
3216.58.206.42United States
AS15169GOOGLE
252.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
2104.16.175.226United States
AS13335CLOUDFLARENET
2142.250.185.131United States
AS15169GOOGLE
2108.138.7.20United States
AS16509AMAZON-02
1108.138.7.107United States
AS16509AMAZON-02
1104.19.230.21United States
AS13335CLOUDFLARENET
2928--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FAA36B8675D2307252B346D5F03A8642E6224063B94E4854BAEDCBD49FF2CE2216FB7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gIfu+DX8lDntul4H6Jglw5dxAFCh+h1MBYaeaEZTqRhOPpN1xRuNjnWffprp7ckI:gWu+DGDtPHjlgIvXoz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106726:nAOEADERGYx3AFsSgfEOqAUxYQUAWmEFZE4fEJCCEtnJheoWDgxCEqEkJgAokSAaK4AIqEkVB1EOCABwIjIQ7hA2JwJjDVmD

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:ffff0718000000ff
Perceptual Hash:88b0f74bc948ba3e
Difference Hash:116ebcf1f1717515
Wavelet Hash:ffff1f38000000ff
Color Hash:#8b79d2

Scan History

Scan history not available

Unable to load historical scan data