Security Scan Report: signalrcore.wheelsys.io

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Submitted: Jul 8, 2026, 7:48:22 AMCompleted: Jul 8, 2026, 7:50:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is signalrcore.wheelsys.io and was registered NaN years ago.

Submitted URL: https://signalrcore.wheelsys.io

The Cisco Umbrella rank of the primary domain is #394,474 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

No malicious signals detected; site appears legitimate.

Safety Factors
well-established domain (8+ years)
no credential or payment forms
no threat intelligence or malware indicators
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'signalrcore.wheelsys.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'signalrcore'. The registrable portion 'wheelsys' spans 8 characters split between 2 vowels and six consonants. Word splitting yields two words: wheels, ys. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signalrcore.wheelsys.io

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2159.100.10.50Germany
AS44066firstcolo GmbH
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6iF4:qzxO965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a7fe83ec64bb23eb28090598db3d166e

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data