Security Scan Report: hoofoot.net

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Sep 27, 2026, 3:35:58 AMCompleted: Sep 27, 2026, 3:36:31 AMpubliccompleted

This website contacted 5 IPs in 1 country across 2 domains to perform 12 HTTP transactions. The main domain is hoofoot.net and was registered 17 years ago.

Submitted URL: https://hoofoot.net/full-matches/major-league-soccer/la-galaxy-vs-colorado-rapids-highlights-september-26-2026/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Established 6-year-old football highlights site with no forms, no brand impersonation, and no threat-intel, malware or IDS hits. Circular redirect and stray eval() calls are weak signals only — no malicious evidence.

Risk Factors (3)
Circular redirect on the requested URL (moderate signal; no accompanying phishing indicator)
Three eval() calls in JavaScript (weak signal, common in ad/analytics scripts)
Domain is unranked in Cisco Umbrella (weak prior only)
Safety Factors (5)
Established 6-year-old domain with a physical address listed
Zero credential, payment or login forms on the page
No Indicators of Compromise, no YARA hits, no Safe Browsing or IDS alerts
Self-branded content (HOOFOOT.NET) matching its own domain, no impersonation of another entity
Content reads as normal sports-highlights publishing
Domain age information unavailable

Details

Page Title

LA Galaxy vs Colorado Rapids Highlights - September 26, 2026other network

Scan Type

public

Domain Name Analysis

The domain name 'hoofoot.net' uses the network infrastructure generic top-level domain (.net) while skipping any subdomain. The core label 'hoofoot' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals two words: hoo, foot. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hoofoot.net/full-matches/major-league-soccer/la-galaxy-vs-colorado-rapids-highlights-september-26-2026/

Page Load Overview

0.55s
Total Load Time
958 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:376 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.67.221.169Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.21.51.57Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E64F9647321483F3C37E2F8B365FA6DB159E255CE2B8D68F5AC01122FCAEE65E56100

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:44Z1qjpUbOTUrsWoycELo7LpG/NSvt4qjmMdacEjUNpvxPxd0djBAsbC:dZOUbOTUrsWoyNLo7LRx8jBpC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326956:kI0CFgKJKERagMAJqFFpJdZyEA2EJEkEEMgeg2kgGiSIJMCEyBCuFBInQhiUBM8gAAAhR5CKIyEKJDyAIpHItgCDG1Crmtqu

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:813d013d3d3d013d
Perceptual Hash:8abc63b9c534e398
Difference Hash:03e171f5f1e90dc1
Wavelet Hash:db3d013d3d39013d
Color Hash:#4d783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data