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Security Scan Report: www.cityofflorencesc.gov

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Submitted: Oct 24, 2025, 12:59:04 PMCompleted: Oct 24, 2025, 1:02:14 PMpubliccompleted
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Summary

This website contacted 47 IPs in 2 countries across 13 domains to perform 55 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: 95%

0
Risk Score

Legitimate city government website with no apparent security threats.

Safety Factors
Established government domain (cityofflorencesc.gov)
Well‑established domain age
Absence of credential‑harvesting or payment forms
No external malicious links detected
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

The domain 'www.cityofflorencesc.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'cityofflorencesc' stretches across 16 characters holding five vowels versus 11 consonants. Breaking it apart gives four words: city, of, florence, sc. Median word length is 3 characters. 'city' most often appears in English. You may catch it in Chinese (Pinyin) and Sinhala as well. Net impression: English phrase.

Screenshot

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

Page Load Overview

4.76s
Total Load Time
55
HTTP Requests
13
Domains
5.5 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:18,453 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
35%
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
313.35.58.85United States
AS16509AMAZON-02
3142.250.186.74United States
AS15169GOOGLE
33.213.214.134Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.17.24.14United States
AS13335CLOUDFLARENET
2142.250.185.99United States
AS15169GOOGLE
116.15.202.255Ashburn, Virginia, United States
AS14618AMAZON-AES
116.15.217.45Ashburn, Virginia, United States
AS14618AMAZON-AES
1172.67.68.204United States
AS13335CLOUDFLARENET
1142.250.185.136United States
AS15169GOOGLE
5547--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C734C55216F0153A0247D3CB6522973DB6D29987D228C102B6FCB35FEFE1E618A7392D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OO/lKWhOTnT9832sUtPPqjxMuxctSt/h43kklTr/UpskC6jT3+KcV7dSjufccMnf:xiRj9bMcVxQuU5SQT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:245469:RZoAoHBcGqqQwIUBIKgQiQLholDABATxEZkBDhEYwkMLDFS0IIQCDEAkwFmqlUIBQThtQdoERQ40IUD1uCZUMQEMg0BQKBCF

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:00ff0100382000ff
Perceptual Hash:8a2cf00f5c3a4b3f
Difference Hash:f1e2696571c15588
Wavelet Hash:00ff01013f3d0dff
Color Hash:#ac7553

Other Hashes

Crop Resistant:f1e2696571c15588,ca4a524a4eccccc6,d56d747575e4cccd,31b30d33330d6961,336d657170c1558c

Scan History

Scan history not available

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