Security Scan Report: www.ncrvoyix.com

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Submitted: May 2, 2026, 8:38:14 PMCompleted: May 2, 2026, 8:39:01 PMpubliccompleted
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Summary

This website contacted 26 IPs in 3 countries across 22 domains to perform 99 HTTP transactions. The main domain is ncrvoyix.com and was registered NaN years ago.

Submitted URL: https://www.ncrvoyix.com/retail/self-checkout?srsltid=AfmBOoqu81eDSa2rDf1QKUl7IBeKpoH4tzNfGb968PmC4xsrXbpKAi3y

The Cisco Umbrella rank of the primary domain is #244,406 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

The site appears legitimate in purpose but exhibits heavily obfuscated JavaScript and low reputation ranking, warranting moderate caution.

Risk Factors
High JavaScript obfuscation and eval() call
Low Cisco Umbrella ranking for a brand claim
Absence of forms reduces phishing risk but does not eliminate suspicion
Safety Factors
Domain is well‑established (over 2 years old)
No credential or payment collection forms present
No malicious Indicators of Compromise or malware detections
Domain age information unavailable

Details

Page Title

Self-Checkout Solutions for Retail Businesses | NCR Voyix

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(71%)

Domain Information

The domain name 'www.ncrvoyix.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 8 characters in 'ncrvoyix' containing 2 vowels alongside 6 consonants. Splitting it apart reveals three words: ncr, voy, ix. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ncrvoyix.com/retail/self-checkout?srsltid=AfmBOoqu81eDSa2rDf1QKUl7IBeKpoH4tzNfGb968PmC4xsrXbpKAi3y

Page Load Overview

4.67s
Total Load Time
99
HTTP Requests
22
Domains
1.4 MB
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
Text Length:9,279 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping71% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
71%
government public service
51%
technology software
47%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24104.26.4.115United States
AS13335Cloudflare, Inc.
3216.239.34.36United States
AS15169Google LLC
3142.251.14.94United States
AS15169Google LLC
3104.18.160.117United States
AS13335Cloudflare, Inc.
3150.171.22.12United States
AS8075Microsoft Corporation
352.242.103.142Boydton, Virginia, United States
AS8075Microsoft Corporation
3172.64.155.119United States
AS13335Cloudflare, Inc.
3142.251.20.155United States
AS15169Google LLC
3142.251.127.95United States
AS15169Google LLC
3104.18.87.42United States
AS13335Cloudflare, Inc.
9926--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D44A56B7880121BD6C38769E672BF49B1A1889FFD7318DDF09D53B40BCABD64C01A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nmgGYypWCVdT2sBnHLgN/uzXvnC6z9JAGjH2iXfsCi/YVzLYp0q/3/y3/S9dONXf:72rT2iXw406q/8OdSXg2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:255715:AABmhLEBYRSkAgkIVwMfIWsoQURjAAgImggMil8KUMH1AKweYVAm4SMBwQbiACBDRUvfgGBFRQAAhQBSC0IICAECEYsCPgjK

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:ff0f0f070e0604ff
Perceptual Hash:b3a9ea54cc46c55a
Difference Hash:499fdbded8dedc9d
Wavelet Hash:ff070f070e0604ff
Color Hash:#583a78

Scan History

Scan history not available

Unable to load historical scan data