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Security Scan Report: goleopards.com

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Submitted: Jul 20, 2026, 3:28:34 AMCompleted: Jul 20, 2026, 3:30:12 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/60cf31cf-880b-4f97-880a-0abf1ba239d5Domain and IP registration (RDAP)/api/v1/rdap/60cf31cf-880b-4f97-880a-0abf1ba239d5Certificate Transparency/api/v1/ct/goleopards.comHow often this domain was scanned/api/v1/domain/stats/goleopards.comScan history for this domain/api/v1/domain/history/goleopards.com?limit=15

This website contacted 12 IPs in 1 country across 23 domains to perform 90 HTTP transactions. The main domain is goleopards.com and was registered 26 years ago.

Submitted URL: https://goleopards.com/sports/baseball/roster/david-bednar/224

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate Lafayette College athletics page with no malicious indicators.

Safety Factors
Established domain with long registration history
Official college athletics subdomain
Only informational content and a harmless form with hidden viewstate fields
No suspicious redirects beyond normal site navigation
Domain age information unavailable

Details

Page Title

David Bednar - Baseball - Lafayette College Athletics

Scan Type

public

Domain Name Analysis

You're looking at domain 'goleopards.com' on the commercial generic top-level domain (.com) and has no subdomain. The core label 'goleopards' covers 10 characters split between 4 vowels and 6 consonants. Word splitting yields two words: go, leopards. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goleopards.com/sports/baseball/roster/david-bednar/224

Page Load Overview

5.24s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,030 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content82% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
82%
documentation technical
48%
entertainment media
37%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1318.172.112.25Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7172.64.147.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
765.8.131.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7142.251.110.97Google · CDNUnited States
AS15169Google LLC
7142.250.154.95Google · CDNUnited States
AS15169Google LLC
797.107.131.161Cedar Knolls, New Jersey, United States
AS63949Akamai Connected Cloud
73.174.46.84Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
765.9.175.113Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
754.192.87.20Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9012--

Detected Technologies6

JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
Imperva
40%
HSTS
40%
Microsoft ASP.NET
30%
Google Tag Manager
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6B4FF44BA61553B40EF777F5A79406931379143A9083C0A7D8CBB857F90B0CAEE2F6A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fydwVB6jGD0dnJ9hKZhodM2e3lDkxdYdReCaWWdNF5/qjb9d8R13vRWLd8h9qPxp:r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500000:QwKZBVZBqoY/WAIgRSFQQITiX1DAUEkAAAhAoLqNCAy0CCEyCBCAgVABhMDiDDUeAg6XkJIgAIIENgOUglAJP7AAAItGoggI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data