Security Scan Report: dugoutsports.io

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Submitted: May 23, 2026, 2:35:04 AMCompleted: May 23, 2026, 2:37:56 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 105 HTTP transactions. The main domain is dugoutsports.io and was registered NaN years ago.

Submitted URL: https://dugoutsports.io/teams/ucf-knights-softball/schedule

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site appears legitimate but is a newly registered, unranked domain with heavily obfuscated JavaScript; monitor for any future malicious changes.

Risk Factors
New domain (<90 days)
Unranked / low‑reputation domain
Heavy JavaScript obfuscation without supporting malicious indicators
Safety Factors
No forms collecting credentials or payments
No malicious IoC matches or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

UCF Knights Softball Schedule 2026 - Scores &amp; Results | Dugout Sports

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Domain 'dugoutsports.io' uses the British Indian Ocean Territory country-code top-level domain (.io) while skipping any subdomain. The registrable portion 'dugoutsports' spans 12 characters with 4 vowels and eight consonants. Word splitting yields 2 words: dugout, sports. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dugoutsports.io/teams/ucf-knights-softball/schedule

Page Load Overview

30.12s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
56%
adult content
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
166.33.22.170United States
AS400940Railway
0104.20.17.167United States
AS13335Cloudflare, Inc.
0184.24.77.169Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
020.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
0142.251.110.97United States
AS15169Google LLC
0216.198.79.1United States
AS16509Amazon.com, Inc.
034.204.160.89Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
17--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CFB4947B810ECCC5CA02A59D57BF3F2FF041B34F5BC5E5A8AE59CA10A0C56F62396189

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:REVOaga+trFIBoC5w4/TLfGS+jrxWwS4iaQzVjxUf8gBsxiLx4PUqKGv9zg0J3rq:RU4iyqKGlzg0lu/7j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:533270:MGmowdAiAHA3hwkgI4CBxgewyxhBEyyN8JFSIODABIoJAlEgDAEjMMBAgMDRCEB0h2wNAsVmCCDAUJCSRRmAJQQRQAZgI8OL

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:ff6061007c342424
Perceptual Hash:c2e8fc94bc9c9cc1
Difference Hash:a5cdc5c5c5cdcdcd
Wavelet Hash:ff6121017d35253d
Color Hash:#2dd27a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data