Security Scan Report: wgo-whatsapp.com.cn

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Submitted: Jan 8, 2026, 8:36:37 AMCompleted: Jan 8, 2026, 8:37:57 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 18 HTTP transactions. The main domain is wgo-whatsapp.com.cn and was registered NaN years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating WhatsApp; do not use or trust.

Risk Factors
Brand impersonation on a newly registered domain
Critical domain age (<7 days) with no reputation
Unranked domain claiming to be a major service
Multiple redirects without clear purpose
Domain age information unavailable

Details

Page Title

WhatsApp Web

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

The domain 'wgo-whatsapp.com.cn' uses the Chinese country-code top-level domain (.com.cn) with no subdomain. The registrable portion 'wgo-whatsapp' spans 12 characters split between 3 vowels and 8 consonants, along with 1 hyphen. Segmentation suggests five words: w, go, what, s, app. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.98s
Total Load Time
4
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:9,898 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
social media network
83%
documentation technical
81%
education learning
69%
government public service
68%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4154.221.8.135Seychelles
AS137951ASLINE LIMITED
41--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9C2E52FA5F33126134350A23FE16B939F74C1379A4A9C6176AD52AC9FC2880D6B335D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:e470gHs5VWNxCHs/VWi7jhvwTFP+DWgEC+AqEqD00W3PclbBux4C0UIQttbeF0FI:e4ogHs5VWNxCHs/VWifhvk5+DWgEC+A4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28107:QggsSGAAZIPgAEQgHCCD4OeE8EATeTEzCiBCMfyAABYQFGGYYEgAAhkGyKgMkAg0wyGKROIAkYARUoFIAOgG8RGgCDMgBsDN

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:9e9e9ec2c08e9e9e
Perceptual Hash:bc9c9c93659c92c9
Difference Hash:30303406a23c3434
Wavelet Hash:9e829e82c28ede9e
Color Hash:#537eac

Other Hashes

Crop Resistant:30303406a23c3434

Scan History

Scan history not available

Unable to load historical scan data