Security Scan Report: speedrideio.com

Redirected to: https://speedrideio.com/#/pages/login/login

Submitted: Mar 20, 2026, 6:40:37 PMCompleted: Mar 20, 2026, 6:42:06 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 36 HTTP transactions. The main domain is speedrideio.com and was registered NaN years ago.

Submitted URL: http://speedrideio.com/

Effective URL: https://speedrideio.com/#/pages/login/loginRedirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

10
Risk Score

New domain presenting a login page with heavily obfuscated JavaScript; classified as confirmed credential phishing scam.

Risk Factors
Brand new domain (<7 days) with credential collection UI
Obfuscated JavaScript likely used to hide malicious behavior
Absence of legitimate organizational content or multiple form types
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇪🇸

Spanish

(50% confidence)

Category

social media network

(53%)

Domain Information

The domain 'speedrideio.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'speedrideio' spans 11 characters holding six vowels versus 5 consonants. It segments into 3 words: speed, ride, io. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://speedrideio.com/

Page Load Overview

8.63s
Total Load Time
49
HTTP Requests
4
Domains
4.8 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:50%
Script Type:Latin
Text Length:246 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network53% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
53%
e-commerce shopping
32%
finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13118.25.42.241United States
1247.79.65.228Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
12163.181.58.166Germany
12163.181.214.134United States
AS24429Zhejiang Taobao Network Co.,Ltd
494--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E083C631750D3915B53BC892B0C17B996029A313C26346A9F7A9363ACFC78D73B76389

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UmLSYdZXEnilz+RHnURzedsYcgi5mzPMc2KoGowv4FZBsfy7sfZKsfFOsf0dsfjJ:U4Siz+RHnURzedsR5m7Mc3oGoK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86299:Al44AGgGA+gBRAVgohRFIq0AYDwgmQNYifKAIgEW8HmociGBCMBXYWCxwx0QDYBgIvOwJVRBkgU1agCQTErQA4mKwACqrHRQ

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:00181818c3c3e7ff
Perceptual Hash:cc199b6626338c7d
Difference Hash:093232b286869696
Wavelet Hash:0018181bc3c3ffff
Color Hash:#87c58c

Scan History

Scan history not available

Unable to load historical scan data