Security Scan Report: www.aipredict.io

Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 6 domains to perform 38 HTTP transactions. The main domain is aipredict.io and was registered 2 years 10 months ago.

Submitted URL: https://www.aipredict.io/baseball/player/2065640/lucas-spence/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Established self-branded sports prediction site with standard account/Stripe forms; no threat-intel, malware, or phishing indicators. Low risk, but unranked reputation warrants caution.

Risk Factors (1)
Domain is unranked in Cisco Umbrella (weak reputation signal only)
Safety Factors (5)
Self-branding matches the domain; no impersonation of a different brand.
Domain age over 2 years, categorized as well-established.
No threat-intel matches, hunting-rule hits, IDS alerts, or cross-origin credential exfiltration.
Uses Stripe for payment processing, a legitimate third-party payment provider.
Physical address visible and standard account management forms.
Domain age information unavailable

Details

Page Title

Lucas Spence Stats & Predictions 2026 | Baseball AI Analysis - AIPredict

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.aipredict.io' on the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'www'. The second-level label 'aipredict' is 9 characters long containing 4 vowels alongside 5 consonants. Tokenizing the label suggests 3 words: a, i, predict. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

ERA Predict Bests Basketball515°O Tennis307_/Ice Hockey1099@ American Football140~}>Baseball 25% Cricket€PRugby113 X Handball472%}Volleyball100 @ MMA21 Motorsport 2, Cycling @ Table Tennis@4Esport aS...

Page Load Overview

2.55s
Total Load Time
471 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,003 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.73.125Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.26.14.136Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.180.104Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.21.31.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.26.15.136Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
43.160.150.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
43.160.150.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
452.42.7.74Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
389--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE830A65A0F6103A117742DA97BB7F1D32758013C606C500BABC82AC6FD9E46B97BEDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/WIIUU1Qra35lJ0/4AwEeopaOJh8h4/1uYKP2X4Tx/0:/4xJ0/4A51XX4Z0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86128:VHGQsUJGw4BDAJgEA5DLAAUOhC7iRDiAwGAA2zVsJik1FFhLAOTKgoAABQeBQFIuANYiwMiIBKjiIKPgDAYBgwgwAAYgCQAI

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:037f7f7f3f3f3f70
Perceptual Hash:81fc7e0f6ab82f80
Difference Hash:868080c0c0d8d8c0
Wavelet Hash:027e7e7e3e3e0e00
Color Hash:N/A

Other Hashes

Crop Resistant:868080c0c0d8d8c0

Scan History

Scan history not available

Unable to load historical scan data