Security Scan Report: accoun.ycafjkz.cn

Submitted: Jan 19, 2026, 10:17:37 PMCompleted: Jan 19, 2026, 10:19:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is accoun.ycafjkz.cn and was registered NaN years ago.

Submitted URL: https://accoun.ycafjkz.cn/accoun

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site impersonates Aeon Card on a new unranked domain; likely phishing – do not provide any information.

Risk Factors
Brand impersonation on an unrelated, unranked domain
New domain (<180 days) claiming a well‑known brand
Unranked domain with brand claim (typical typosquatting/phishing pattern)
HTTP ERROR 444 response suggests suspicious server behavior
Domain age information unavailable

Details

Page Title

accoun.ycafjkz.cn

Scan Type

public

Language

🇯🇵

Japanese

(60% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'accoun.ycafjkz.cn' on the Chinese country-code top-level domain (.cn), featuring subdomain 'accoun'. The second-level label 'ycafjkz' is 7 characters long containing one vowel alongside six consonants. Splitting it apart reveals four words: y, caf, j, kz. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accoun.ycafjkz.cn/accoun

Page Load Overview

2.89s
Total Load Time
4
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:60%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:60%
Script Type:Mixed
HTML Lang Attribute:en
Text Length:26 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ja

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
443.153.167.11Tokyo, Tokyo, Japan
AS132203Tencent Building, Kejizhongyi Avenue
41--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszo2bMy8OldG:EhoC9JSqzzbs6o3Sj3gcrsk2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184423:awrZNRAUJIJCQCFQh1QAhiGCiiNRIQICESBbZJCDKCMgAZAIhsEoABvMJW0kCKUJACFCECFNCFYUsmcgIBkEhQQINAzoECgj

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:3f1f073300000000
Color Hash:#39862d

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data