Security Scan Report: springdalesc.com

Submitted: Nov 20, 2025, 9:59:08 AMCompleted: Nov 20, 2025, 10:01:25 AMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 10 domains to perform 47 HTTP transactions. The main domain is springdalesc.com and was registered NaN years ago.

Submitted URL: https://springdalesc.com/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate but circular redirect is a minor security concern

Risk Factors
Circular redirect detection (strong indicator of possible URL manipulation)
Safety Factors
Domain is over 28 years old, indicating long‑term legitimate operation
No malicious Indicators of Compromise matches
No credential‑harvesting or payment collection forms
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 name 'springdalesc.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 12 characters in 'springdalesc' split between 3 vowels and 9 consonants. It segments into two words: springdale, sc. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.37s
Total Load Time
47
HTTP Requests
10
Domains
2.1 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
22199.250.194.83United States
AS54641IMH-IAD
2165.8.131.121United States
AS16509AMAZON-02
14157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.184.227United States
AS15169GOOGLE
2151.101.129.229San Francisco, California, United States
AS54113FASTLY
1151.101.130.137San Francisco, California, United States
AS54113FASTLY
165.8.131.78United States
AS16509AMAZON-02
1142.250.185.202United States
AS15169GOOGLE
1142.250.181.227United States
AS15169GOOGLE
4727--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116A23B15449C142B13274780B826774EA137820BD6972F8276AC2A7A5BDBFDD3CA335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XpDiDfj6w15lR0YswU1EJn2XNx8fnDXl+TYtxIrGe:XoAYswn9PkYtxIrGe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22665:kmjUkcKAgQKAUAH+PDgtGBQmAFMCKGskBCZDAiKAHAARKBEURxS2KRAULACTEQAuqVCXSIY5AQSACCCMQQNFILAicHlgSjCl

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:f0ff0080000020ff
Perceptual Hash:cc4ca666ec631d17
Difference Hash:c7a430022565c934
Wavelet Hash:fbfffaa0000020ff
Color Hash:#9479d2

Scan History

Scan history not available

Unable to load historical scan data