Security Scan Report: www.cityofflorenceco.gov

Submitted: Nov 20, 2025, 2:18:46 PMCompleted: Nov 20, 2025, 2:21:04 PMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 11 domains to perform 41 HTTP transactions. The main domain is cityofflorenceco.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate municipal website.

Safety Factors
Official .gov domain
Domain age of 526 days (established)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content appears to be standard municipal information
Domain age information unavailable

Details

Page Title

Homepage City of Florence

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain name 'www.cityofflorenceco.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'cityofflorenceco' stretches across 16 characters containing 6 vowels alongside 10 consonants. Breaking it apart gives 4 words: city, of, florence, co. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.35s
Total Load Time
41
HTTP Requests
11
Domains
2.2 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:2,030 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
32%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1813.33.50.64New York, New York, United States
AS16509AMAZON-02
1052.32.196.230Boardman, Oregon, United States
AS16509AMAZON-02
10146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7142.250.186.170United States
AS15169GOOGLE
5162.247.243.29United States
AS54113FASTLY
3142.250.185.131United States
AS15169GOOGLE
1142.250.184.195United States
AS15169GOOGLE
134.36.213.229Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
134.214.250.249Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.184.228United States
AS15169GOOGLE
4124--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E935B9A30C1383257B346D6F07E5746B167403AA94E4C107AADCAE91FF5CE6613AB3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tIfu+DX8lDntul4H6Jglw5P/Yu0Va0RVRDHuPmlcQ3pjhlkzoxaHZN:tWu+DGDtPHjlgUa0/3GZN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92341:oHAa/QB9LHgAEuQASo4y9ZSAhdIBqRQkQMwGEDQMKSBJDBAiFlAAFKJICBYESA0CAgmUxoABOgSjNOJh2BxQQSXIsJUEJXop

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:ff007e380000ffff
Perceptual Hash:c094be7ecc9494ec
Difference Hash:20c1e0e0b2e12f2e
Wavelet Hash:ff007e300000ffff
Color Hash:#c5bb87

Scan History

Scan history not available

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