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Security Scan Report: springdalesc.com

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Submitted: Oct 7, 2025, 1:22:38 PMCompleted: Oct 7, 2025, 1:24:38 PMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 10 domains to perform 74 HTTP transactions. The main domain is springdalesc.com and was registered NaN years ago.

Submitted URL: https://springdalesc.com/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established domain registered in 1997
Official municipal branding and contact information
No credential or payment collection forms
Standard third‑party newsletter service (Mailchimp) used
Domain age information unavailable

Details

Page Title

Town of Springdale, South Carolina

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(29%)

Domain Information

The domain 'springdalesc.com' uses the commercial generic top-level domain (.com). Its registrable label 'springdalesc' stretches across 12 characters containing three vowels alongside nine consonants. Segmentation suggests two words: springdale, sc. Expect 6 characters per word on average. 'springvale' most often appears in Galician. Usage also turns up in Sinhala and English contexts.

Screenshot

Security scan screenshot of https://springdalesc.com/

Page Load Overview

36.50s
Total Load Time
74
HTTP Requests
10
Domains
2.9 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:2,739 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service29% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22151.101.130.137San Francisco, California, United States
AS54113FASTLY
2199.250.194.83United States
AS54641IMH-IAD
2216.58.206.42United States
AS15169GOOGLE
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2104.16.175.226United States
AS13335CLOUDFLARENET
2142.250.186.131United States
AS15169GOOGLE
2157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
218.172.112.27United States
AS16509AMAZON-02
22a04:4e42:600::649United StatesUnknown
22a04:4e42:400::649United StatesUnknown
7427--

Detected Technologies5

Open-Graph-Protocolvwebsite
100%
JQueryv3.5.1
100%
MailChimp
30%
jsDelivr
20%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDB23C154498141B23274780B861774E9177C24BD6532F9632AC2ABA5BCFFDC7CA339E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XpDiDfj6w15lR0YFwU1NJn2XNx8fnDXOZpTYtxIrGe:XoAYFwK9Pi1YtxIrGe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23968:hUGcyILi8Ka5UQ14EQCNkAAAV9ARiEVAFDZGEhQAECABCCEyBZAAEUBRINYAHJlKTpCAguIboQqBOsQEUaBFI5Aa+CoEmiSF

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:f0ff90e0000020ff
Perceptual Hash:cc4c862eec631d1f
Difference Hash:c7a420022565c934
Wavelet Hash:fbfff8e0000020ff
Color Hash:#4d2d86

Other Hashes

Crop Resistant:c7a420022565c934,a28080e0e8e080a2,0c842686e6c6c6e6,cbc7e4c6c6c6d7da,242202232464cdc9

Scan History

Scan history not available

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