Security Scan Report: openwheel.com

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Submitted: Jul 5, 2026, 6:11:20 PMCompleted: Jul 5, 2026, 6:12:32 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is openwheel.com and was registered NaN years ago.

Submitted URL: https://openwheel.com/drivers-teams/

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

The site appears legitimate, with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain age
Self‑branding matches domain
No forms or credential collection
No malicious JavaScript or external threats detected
Domain age information unavailable

Details

Page Title

2026 NTT INDYCAR SERIES & INDY NXT Drivers & Teams

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

You're looking at domain 'openwheel.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Count 9 characters in 'openwheel' containing 4 vowels alongside 5 consonants. Tokenizing the label suggests two words: open, wheel. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://openwheel.com/drivers-teams/

Page Load Overview

2.04s
Total Load Time
21
HTTP Requests
4
Domains
642 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,127 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
adult content
38%
corporate
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1167.222.31.239United States
AS63410PrivateSystems Networks
10192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108C31C73E1CA74F66712567C615CBB3CE12A00B5CF1995F2F2BA14AAC148EEB506331E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:36E1QudNGATSAtQ7wnPlX+0HUOgwyVZ3y0PVAxN8:36E1QuOiQqX++T8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:129515:QGkDi4CKAKQMVUBCijicOQPgZtFCOQQJixEhhAoPBgJnSYGkAGAKQYBABAwUxYaBAgHNqEVVY4DCTlYEFQFQGCKQIHRxMLpG

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:0000181800fbffff
Perceptual Hash:8818e5e336cd555b
Difference Hash:bbb3b3b3b9d3022e
Wavelet Hash:0101181908ffffff
Color Hash:#93521f

Scan History

Scan history not available

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