Security Scan Report: www.cityofflorencesc.gov

Submitted: Nov 21, 2025, 2:10:00 PMCompleted: Nov 21, 2025, 2:12:43 PMpubliccompleted
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Summary

This website contacted 41 IPs in 3 countries across 12 domains to perform 57 HTTP transactions. The main domain is cityofflorencesc.gov and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No sensitive data collection forms
Official municipal content
Domain age information unavailable

Details

Page Title

City of Florence, SC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(89%)

Domain Information

You're looking at domain 'www.cityofflorencesc.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The second-level label 'cityofflorencesc' is 16 characters long with 5 vowels and eleven consonants. Breaking it apart gives four words: city, of, florence, sc. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.09s
Total Load Time
57
HTTP Requests
12
Domains
6.0 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:20,006 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
89%
government
48%
forum community discussion
36%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34135.237.219.200Chicago, Illinois, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
357.144.222.128Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
3142.250.186.170United States
AS15169GOOGLE
313.35.58.11United States
AS16509AMAZON-02
354.159.231.72Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.17.25.14United States
AS13335CLOUDFLARENET
2142.250.186.131United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
116.182.67.138Ashburn, Virginia, United States
AS16509AMAZON-02
152.217.235.90Ashburn, Virginia, United States
AS16509AMAZON-02
5741--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D34C65256F0113A0247D3CB6521973EBAD29587D228C102B6FCB35FEFE1E618A7392D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Oz/lKWBOTnT9832sUuPPqjxMuxctSt/h43kklTr/UpskC6jTN+jV7dSjufccMnKS:2iRjsbZVxQuU5SQJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:247721:gTkXWEA5MsUkRlYhIiIUZlcNRZTTCyEImnSlZCAIAElZUEFZCCEcQEEkPIQKHB0QEUEWbqSgsQJwBvAgcmQKYAy4QARBLM6o

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:00ffff00183c00ff
Perceptual Hash:8a2cf01f7c2a8b3d
Difference Hash:31e0fb6d7171c98c
Wavelet Hash:00ffbf01193d00ff
Color Hash:#87c58e

Scan History

Scan history not available

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