Security Scan Report: sportsdesk.co

Redirected to:
https://www.sportsdesk.co/leagues/mls
Submitted: Sep 28, 2026, 3:01:13 AMCompleted: Sep 28, 2026, 3:02:11 AMpubliccompleted

This website contacted 9 IPs in 1 country across 5 domains to perform 72 HTTP transactions. The main domain is sportsdesk.co and was registered 14 years ago.

Submitted URL: https://sportsdesk.co/leagues/mls

Effective URL:

https://www.sportsdesk.co/leagues/mls
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

New but clean self-branded sports news site: no credential/payment forms, no impersonation, no threat-intel or malware signals. Only weakness is its 50-day-old, unranked domain.

Risk Factors (1)
Recently registered domain (50 days) with no established reputation in Cisco Umbrella top 1M
Safety Factors (5)
Site-wide self-branding consistent with its own domain (SportsDesk) — no impersonation of any other brand
No credential, login, or payment capture forms present on the page
Only cross-origin script traffic is Google Analytics/GTM (expected, legitimate analytics)
No Indicators of Compromise, YARA hits, Safe Browsing flags, or network IDS alerts
Content reads as a genuine multi-sport news/standings site with legal, privacy, and editorial policy links
Domain age information unavailable

Details

Page Title

Major League Soccer — Standings, Teams, Scores & News | SportsDesk

Scan Type

public

Domain Name Analysis

The domain 'sportsdesk.co' uses the Colombian country-code top-level domain (.co). The second-level label 'sportsdesk' is 10 characters long split between two vowels and 8 consonants. Word splitting yields two words: sports, desk. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sportsdesk.co/leagues/mls

Page Load Overview

4.02s
Total Load Time
772 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,800 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media75% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
75%
adult content
62%
news media journalism
41%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
864.29.17.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8104.18.67.220Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.251.14.97Google · CDNUnited States
AS15169Google LLC
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
8216.198.79.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8104.18.66.220Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8192.178.183.97Google · CDNUnited States
AS15169Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
729--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CA375797101C96DEDAB6E58107EBE3921CDC25EDA87CEB6D39CD5300287439AB53AC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:G07ESC4QtPPlOHEMVb5vjICErHjHLubDe2MROllRSNd9TEV+9zQo44cAmU0m3Ild:BCDlmEMqDP5kXwYHMUN6n6p25I7+MD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106673:QRyCUE0AGgjKA6gDEIYaAISAMQCT0AQgJTQIWKQtWAWqQQ6QiYIslkCBgSAQogICowsgq2chqIFwBKGSRDQUhINQI2AMPQwY

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:008181ffffffffff
Perceptual Hash:ef6f4a9290903a6b
Difference Hash:712b2b700b6b630b
Wavelet Hash:008080bec7bfbfc7
Color Hash:#c1e06c

Scan History

Scan history not available

Unable to load historical scan data