Security Scan Report: payway.com.kh

Redirected to:
https://www.payway.com.kh/
Site favicon
Submitted: Sep 13, 2026, 1:36:29 PMCompleted: Sep 13, 2026, 1:37:15 PMpubliccompleted

Summary

This website contacted 7 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is payway.com.kh and was registered 14 years ago.

Submitted URL: https://payway.com.kh

Effective URL: https://www.payway.com.kh/Redirected

The Cisco Umbrella rank of the primary domain is #713,217 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Established 10-year-old Cambodian payment gateway (ABA PayWay) on its own domain, self-branded with no forms, no impersonation, and no threat-intel hits. Legitimate.

Safety Factors
Established 10-year-old domain with documented registration date
Self-branded marketing site, no impersonation of another entity
No forms, no credential or payment collection fields
No Indicators of Compromise, YARA, IDS, or Safe Browsing hits
Cisco Umbrella ranked (#713,217) and consistent corporate content
Domain age information unavailable

Details

Page Title

PayWay | Cambodia's No.1 Online Payment Gateway

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(72%)

Domain Information

The domain name 'payway.com.kh' uses the Cambodian country-code top-level domain (.com.kh) while skipping any subdomain. The second-level label 'payway' is 6 characters long holding two vowels versus four consonants. Segmentation suggests two words: pay, way. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://payway.com.kh

Page Load Overview

3.12s
Total Load Time
169
HTTP Requests
5
Domains
2.3 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:12,696 chars
Detector Agreement:75%

Website Classification

Primary Category

e-commerce shopping72% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
72%
finance banking
71%
technology software
68%
government public service
53%
cryptocurrency blockchain
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25104.17.19.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
24104.18.154.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
24192.178.183.97Google · CDNUnited States
AS15169Google LLC
24104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
24216.239.32.36Google · CDNUnited States
AS15169Google LLC
24142.251.110.97Google · CDNUnited States
AS15169Google LLC
24104.17.20.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1697--

Page Statistics

169
Requests
5
Unique Domains
4.6 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15161012C350CCA1B15631BA87BE1A918A0973219602DD470F9FFE9B9CF707964E7189B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:muptWdADJwAg/+Sxw5xwmOVOkODOnO4nOtwO9uOkdOuOGxwxOQwOpOuLMItO8fo5:mugAKNMx7c7WQIZfqufuhUH9g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3306:AIAgCEJYAQAAAAAAABIIDBBEAAAI0SQJACCIBgAGQAAgAADAAAYQIAggAMAQAAAECQAAQDggIAABQRCUsAoBgAAAACAAAAoA

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:b7fe9e98bcfeff00
Perceptual Hash:9ed962c12eb15ab1
Difference Hash:6404303268089c25
Wavelet Hash:a0fc9898bcfcef00
Color Hash:#5357ac

Other Hashes

Crop Resistant:6404303268089c25

Scan History

Scan history not available

Unable to load historical scan data