Security Scan Report: sportsstats.app

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Submitted: Sep 23, 2026, 7:46:34 AMCompleted: Sep 23, 2026, 7:47:09 AMpubliccompleted

This website contacted 3 IPs in 1 country across 2 domains to perform 51 HTTP transactions. The main domain is sportsstats.app and was registered 11 years ago.

Submitted URL: https://sportsstats.app/mlb/players/josue-de-paula-800543

AI Security Verdict

Low Risk

Confidence: 45%

3
Risk Score

New sports stats site with self-branding, no forms or malicious signals; low risk.

Risk Factors
Domain is only 75 days old
Unranked in Cisco Umbrella
Safety Factors
Self-branding matches domain
No forms or credential collection
No threat intelligence matches
No JavaScript behavioral issues
Legitimate sports statistics content
Domain age information unavailable

Details

Page Title

Josue De Paula — SportsStats

Scan Type

public

Domain Name Analysis

Domain 'sportsstats.app' uses the application-focused generic top-level domain (.app) while skipping any subdomain. The core label 'sportsstats' covers 11 characters with 2 vowels and nine consonants. It segments into 2 words: sports, stats. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sportsstats.app/mlb/players/josue-de-paula-800543

Page Load Overview

3.29s
Total Load Time
853 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,750 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
OG: profile
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17140.248.149.91Fastly · CDNAshburn, Virginia, United States
AS54113Fastly, Inc.
513--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8A3DB20F4F0523B628702ABED02AF2234DEE61FD2D7E69471BCA5B68F51DC90753529

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:c8WHS1ALOi6V121n36SqzbAZ3E9/X0kF4b2NcFM/:c/Hu+ONV121nqzbiE9/X0kFDNcFM/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98876:UFKLAAQJKCKHYjsBGqCGYCiQRWyfQCEiYKGFkuekgAGhr0JHBMHikASDhDMA0cGcIASOoEMrwqCkFAEgGlREDsRgQDdID8BQ

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:041fffffbd8181a1
Perceptual Hash:9f1f1e1e52524a6a
Difference Hash:757b518443436349
Wavelet Hash:000fffffad818191
Color Hash:#931f6f

Other Hashes

Crop Resistant:757b518443436349

Scan History

Scan history not available

Unable to load historical scan data