Security Scan Report: feature-services.vwonehub.io

Submitted: Dec 4, 2025, 9:30:57 AMCompleted: Dec 4, 2025, 9:32:55 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is feature-services.vwonehub.io and was registered NaN years ago.

Submitted URL: https://feature-services.vwonehub.io/

The Cisco Umbrella rank of the primary domain is #134,637 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No credential or payment collection fields
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

unknown

(0%)

Domain Information

The domain 'feature-services.vwonehub.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'feature-services'. Its registrable label 'vwonehub' stretches across 8 characters with three vowels and 5 consonants. It segments into three words: vw, one, hub. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://feature-services.vwonehub.io/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:224 chars
Detector Agreement:100%

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
213.33.187.123New York, New York, United States
AS16509AMAZON-02
013.33.187.106New York, New York, United States
AS16509AMAZON-02
013.33.187.29New York, New York, United States
AS16509AMAZON-02
02600:9000:235a:ea00:4:5f22:75c0:93a1United States
AS16509AMAZON-02
02600:9000:235a:2e00:4:5f22:75c0:93a1United States
AS16509AMAZON-02
02600:9000:235a:b400:4:5f22:75c0:93a1United States
AS16509AMAZON-02
02600:9000:235a:c00:4:5f22:75c0:93a1United States
AS16509AMAZON-02
02600:9000:235a:b600:4:5f22:75c0:93a1United States
AS16509AMAZON-02
02600:9000:235a:3400:4:5f22:75c0:93a1United States
AS16509AMAZON-02
02600:9000:235a:4800:4:5f22:75c0:93a1United States
AS16509AMAZON-02
212--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D24188A1EA9318651137C9F11AFE775532DBC037C19A2214FA9CA398DFC9D40B811901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9rAk1ncqugukVPANyAgrtF:niFWN15AN427zrXczgumPANhgrtF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2374:ACgAFAAEAAAABAAAEAGAgIIABEwIAAAgAAACIAgCAoEADAEAAECICbJAAAAECAAQABACAAAAEAlQACgACAAAAAAAAAACQAEF

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:001fffffffffffff
Perceptual Hash:8f0f0f2f6b636260
Difference Hash:6970004000000000
Wavelet Hash:001fffff00000000
Color Hash:#40bf59

Other Hashes

Crop Resistant:6970004000000000

Scan History

Scan history not available

Unable to load historical scan data