Security Scan Report: www.ij-jklm-n-whatsapp.com.cn

Redirected to: https://web.whatsapp.com/

Submitted: Mar 16, 2026, 5:51:20 PMCompleted: Mar 16, 2026, 5:52:51 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 21 HTTP transactions. The main domain is web.whatsapp.com and was registered NaN years ago.

Submitted URL: http://www.ij-jklm-n-whatsapp.com.cn/

Effective URL: https://web.whatsapp.com/Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Redirect leads to official WhatsApp Web; no malicious activity detected.

Safety Factors
Well‑established domain (>17 years old)
Final destination is the official WhatsApp Web site
No credential or payment forms present
No JavaScript malware or suspicious behavior detected
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

WhatsApp Web

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(58%)

Domain Information

The domain name 'www.ij-jklm-n-whatsapp.com.cn' uses the Chinese country-code top-level domain (.com.cn), featuring subdomain 'www'. The second-level label 'ij-jklm-n-whatsapp' is 18 characters long split between 3 vowels and twelve consonants, notching 3 hyphens. It segments into 7 words: ij, j, klm, n, what, s, app. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.ij-jklm-n-whatsapp.com.cn/

Page Load Overview

6.29s
Total Load Time
28
HTTP Requests
3
Domains
5.8 MB
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:680 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network58% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
58%
technology software
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1457.144.111.32Warsaw, Mazovia, Poland
AS32934Facebook, Inc.
14172.67.170.46United States
282--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EEA40966721CD89308530B9D689A75EB7E5C100FC6C995B5D0E92FFC1AC25FC320ABDA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Z4T1xuDvSu1uSuluGuGukGFQluJuejuOu9GzUXT/Coq708wuR+L/P7LNWV+5nffS:cMiO6Na+5nfkDNU9Cv7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:469414:CohA4EIJBUxYHRQE0EywRAaEMEN0UEAQAE3kkYS5AFARCgMSrAXQwQBhAppCAjAgILBBBMfoZtUwwcGlGhiQ8GooATiJaqME

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:677fffffffffff03
Perceptual Hash:a2c226c226d337fb
Difference Hash:8880000000000006
Wavelet Hash:070f0f0fcfcfcb00
Color Hash:#79d2ac

Other Hashes

Crop Resistant:8880000000000006

Scan History

Scan history not available

Unable to load historical scan data