Security Scan Report: waihu.appleone.top

Submitted: Apr 30, 2026, 2:12:43 AMCompleted: Apr 30, 2026, 2:13:56 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 waihu.appleone.top and was registered NaN years ago.

Submitted URL: https://waihu.appleone.top/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is a moderately risky new domain with login forms but no clear malicious indicators.

Risk Factors
New domain (<180 days) hosting credential forms
Unranked domain lacking reputation
Adult content classification by ML model (93% confidence)
Safety Factors
No Indicators of Compromise detected
No JavaScript malware YARA matches
No credential exfiltration observed
No network IDS alerts
Domain age information unavailable

Details

Page Title

电销外呼管理系统

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

adult content

(93%)

Domain Information

Within the .top top-level domain, 'waihu.appleone.top' is registered; it also runs on subdomain 'waihu'. The core label 'appleone' covers 8 characters containing four vowels alongside 4 consonants. Word splitting yields two words: apple, one. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://waihu.appleone.top/

Page Load Overview

3.43s
Total Load Time
16
HTTP Requests
1
Domains
119 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
HTML Lang Attribute:zh-CN
Text Length:4,735 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
93%
corporate business
88%
government public service
81%
technology software
70%
documentation technical
62%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1647.83.136.102Hong Kong, Hong Kong
AS45102Alibaba US Technology Co., Ltd.
161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115F4E5A974F7247205A761FA67AB17063D609107E94BCC047BAD4BD00FC2F92E87778A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qKPMnAPZ1iWUsHRNAlYQO8VOJYic2IJsfIl9OJIV8C16TedquGx4D8:qKPMnAPZ1iFK8zic24sfRJIjjd9Gxg8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:743778:ECCSugD5LHBBKO8CsQjCDwiQnCMF0JAQkCBtAzFRaBiCNQNEoBkGkFIlrFRxAQwSSA2dDEmpAiBgIDQBsx3wgED+hWIRlgMB

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:1818181818000000
Perceptual Hash:cccc333326733372
Difference Hash:3132323232010101
Wavelet Hash:f8f8f8f8f8e0c0c0
Color Hash:#862d39

Scan History

Scan history not available

Unable to load historical scan data