Security Scan Report: wis-whatsapp.com.cn

Redirected to: https://wis-whatsapp.com.cn/

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Submitted: Jan 9, 2026, 3:30:12 PMCompleted: Jan 9, 2026, 3:31:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is wis-whatsapp.com.cn and was registered NaN years ago.

Submitted URL: http://wis-whatsapp.com.cn/

Effective URL: https://wis-whatsapp.com.cn/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating WhatsApp; avoid and report.

Risk Factors
Brand impersonation of WhatsApp on a newly registered domain
Critical domain age (<7 days) with no established reputation
Unranked domain lacking any Cisco Umbrella ranking
Absence of legitimate content or verification signals
Domain age information unavailable

Details

Page Title

WhatsApp Web

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

social media network

(80%)

Domain Information

The domain name 'wis-whatsapp.com.cn' uses the Chinese country-code top-level domain (.com.cn) without a subdomain. The second-level label 'wis-whatsapp' is 12 characters long with three vowels and 8 consonants; bonus characters include 1 hyphen. Splitting it apart reveals four words: wis, what, s, app. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://wis-whatsapp.com.cn/

Page Load Overview

2.84s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:15,061 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
80%
entertainment media
70%
technology software
60%
download file sharing
50%
news media journalism
40%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3156.252.44.5Seychelles
AS9294GNET INC.
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0630A7B80F339091A27A0701B9097076E48D57BC85B8EBA7B9C497D9FC0A559CA334E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GdUm0/vzJ6RJWQ5h6X0SLG+B25me5PkdDvpyYmDbAxc5SB7DSATN2lyKmf3vkW1p:4svdB92KgHeWHJI0kB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70839:+AQFiig2BgEIhX8kOGMFwBqCQ8mmiADh1M0YZJwAasgExCECAHTNChkOCQIEAlEBoyHRGAABh0AhQhwwrAwEEQn6CTCGyIA8

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:9e9e0e001e9e1e0e
Perceptual Hash:9c3c989c616796d3
Difference Hash:343c3c0620203898
Wavelet Hash:1e1e86809e9e3e1e
Color Hash:#2e862d

Other Hashes

Crop Resistant:343c3c0620203898

Scan History

Scan history not available

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