Security Scan Report: app-web-whatapp.com.cn

Redirected to:
https://app-web-whatapp.com.cn/
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Submitted: Jul 10, 2026, 10:27:16 PMCompleted: Jul 10, 2026, 10:28:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is app-web-whatapp.com.cn and was registered NaN years ago.

Submitted URL: http://app-web-whatapp.com.cn/

Effective URL: https://app-web-whatapp.com.cn/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site impersonates WhatsApp on a brand‑new, unranked domain without legitimate forms, indicating a high‑risk phishing page.

Risk Factors
Brand impersonation on a mismatched domain
Very new domain (<7 days)
Unranked / no reputation
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 10 to 3
Domain age information unavailable

Details

Page Title

WhatsApp Web - 连接世界,畅享沟通

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

blog personal website

(87%)

Domain Information

The domain 'app-web-whatapp.com.cn' uses the Chinese country-code top-level domain (.com.cn) without a subdomain. Count 15 characters in 'app-web-whatapp' split between 4 vowels and nine consonants, plus two hyphens. It segments into 4 words: app, web, what, app. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://app-web-whatapp.com.cn/

Page Load Overview

1.39s
Total Load Time
4
HTTP Requests
1
Domains
3 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:1,075 chars
Detector Agreement:75%

Website Classification

Primary Category

blog personal website87% confidence
Type: static
Method: ml+structural

All Detected Categories

blog personal website
87%
technology software
84%
social media network
81%
corporate business
72%
government public service
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4154.195.71.87Seychelles
AS9294GNET INC.
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16572326651F3314A69D394753FB1576A2B90C513C80ECE193A9D2688CFC6E81ECD374E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:TtOK2mCN6GNUhQtmkOlg1el3nElK2JNi5sqt+P3d/U/ry3fUthKObWAf7GoJt/RL:Tt1xN6MjPQWptRTQ3de

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16497:DkDkJKBAkABQcHBiDVfBABpNlIHzigJTA4CEAExJUkosqiSxAIdghBHkOOQNxpIgkIQqUEoTI1yCyBFAiCABocCIwNL+kAAU

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:7fe6e7ffc381ff81
Perceptual Hash:bd83852d8f832d87
Difference Hash:c00e0e482b2b542b
Wavelet Hash:7f4000ffc381ff81
Color Hash:#783a4a

Other Hashes

Crop Resistant:c00e0e482b2b542b

Scan History

Scan history not available

Unable to load historical scan data