Security Scan Report: accelpay.io

Redirected to: https://www.accelpay.io/

Submitted: Jan 4, 2026, 7:30:41 AMCompleted: Jan 4, 2026, 7:33:35 AMpubliccompleted
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Summary

This website contacted 50 IPs in 1 country across 36 domains to perform 113 HTTP transactions. The main domain is accelpay.io and was registered NaN years ago.

Submitted URL: https://accelpay.io

Effective URL: https://www.accelpay.io/Redirected

The Cisco Umbrella rank of the primary domain is #417,990 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

AccelPay: Three-Tier Alcohol Payment Solutions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(54%)

Domain Information

You're looking at domain 'accelpay.io' on the British Indian Ocean Territory country-code top-level domain (.io) without a subdomain. The registrable portion 'accelpay' spans 8 characters split between 3 vowels and 5 consonants. Word splitting yields 3 words: acc, el, pay. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accelpay.io

Page Load Overview

35.15s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:13,446 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping54% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
54%
corporate business
52%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.17.24.14United States
0104.18.161.117United States
0198.202.211.1United States
013.226.247.18United States
074.125.206.156United States
0104.20.17.167United States
0104.26.7.99United States
0150.171.22.12United States
0172.66.166.164United States
0104.16.6.65United States
150--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1461429B7E234282F21138EF4B2753B0CB5EB421FCF4369D4A7B54AD45BC8DA998265C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zCzGSAZ3Cx/esbBjU6tLVKA4N2es5/XmzOPC4eCzbxA9Z21Mm0w8Q7:pZ3Cx/esbxU6tLsA4dW/XS4eAbxA9ZS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:191854:xgBFGIwMnAHAUAMRIx4ZcC8CcEJoADgBIIAI/EImgBUDcSIlGWLNEACEgeQAYEQUAGAAL8IUK4wHCioIAbhhgCEGIkI8AsBE

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:0003270707070600
Perceptual Hash:a6ad59965252aad5
Difference Hash:94c7cfcdcccf2c05
Wavelet Hash:4303777767670781
Color Hash:#86842d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data