Security Scan Report: abpay09.top

Submitted: Feb 1, 2026, 4:54:43 AMCompleted: Feb 1, 2026, 4:56:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is abpay09.top and was registered NaN years ago.

Submitted URL: http://abpay09.top/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed phishing scam; do not enter credentials and report the site.

Risk Factors
Brand impersonation of Google on a newly registered domain
Credential harvesting form (password fields only)
Hidden password fields in the page source
Domain is unranked in Cisco Umbrella (not in top 1M)
Domain age < 7 days with login forms (CONFIRMED_SCAM rule)
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(66%)

Domain Information

The domain 'abpay09.top' uses the .top top-level domain and has no subdomain. Count 7 characters in 'abpay09' containing 2 vowels alongside three consonants, plus two digits. Segmentation suggests three words: ab, pay, 09. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://abpay09.top/

Page Load Overview

10.30s
Total Load Time
19
HTTP Requests
1
Domains
11 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
Text Length:76 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
66%
finance banking
66%
cryptocurrency blockchain
58%
government public service
58%
news media journalism
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19103.133.179.200Hong Kong
AS138538VPSOR-GLOBAL
191--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192736AF5D6F96394158FC3D5EB661895AF3E10FB264981A4722C9BF0AF11898CF87C80

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HIkPaMxf/N6cw15UxDTti0xhfK6DV/JPsEnOJwNtPDsTSq:Ek2AZzxLDV/JJw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76905:BWIhDnGIlCwItBQQBcEUaAgCC0oiI03kRiiCUJVhIAQFHbeCeQwQQiCIyEAwwFAJghAmoVAjUwIEYgDqEOlBMCoFAE6CLcUR

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:eee7c3e7fffffffe
Perceptual Hash:f7225588dd88dd89
Difference Hash:080c1e0800000000
Wavelet Hash:1e0703270f0f0f0e
Color Hash:#862d5b

Other Hashes

Crop Resistant:080c1e0800000000

Scan History

Scan history not available

Unable to load historical scan data