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

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

Submitted: Mar 30, 2026, 10:58:38 AMCompleted: Mar 30, 2026, 11:00:04 AMpubliccompleted
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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

Low Risk

Confidence: 85%

3
Risk Score

Redirect from an old, unranked domain to official WhatsApp Web; no malicious activity detected.

Risk Factors
Brand name used in a non‑official domain (potential brand impersonation)
Domain is unranked in Cisco Umbrella (not in top 1 M)
Safety Factors
Domain age > 5 years (well‑established)
No malicious Indicators of Compromise
No credential or payment forms present
Final destination URL matches the official WhatsApp Web domain
Site served over HTTPS
Domain age information unavailable

Details

Page Title

WhatsApp Web

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(55%)

Domain Information

Domain 'www.ij-jklm-n-whatsapp.com.cn' uses the Chinese country-code top-level domain (.com.cn) with subdomain 'www'. The second-level label 'ij-jklm-n-whatsapp' is 18 characters long with three vowels and twelve consonants; it also includes three hyphens. Splitting it apart reveals seven words: ij, j, klm, n, what, s, app. Average segment length settles at 2 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

4.78s
Total Load Time
31
HTTP Requests
3
Domains
5.9 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:689 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network55% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
55%
technology software
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.67.170.46United States
AS13335Cloudflare, Inc.
15157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17DB40857761CC8E788530B9A68EA74DB3F5C140F82C56AA1D09D6FE80AC25EC331B7E5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Z0TR9Ib+4I1ISIlITIGI6JFQfDVIp8I/Ikib+AIXyjk+P7LnWV+5nffNLCjCIfQn:l7U7yw0a+5nfk0xkdCn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:497055:wRYoBA2QUSSDoooTAOgO5kJC4cHhUkgwnwRQwARMaDAQEAODFIiCAAQDAUYDGcgdUNAYAUdgJDIsUAEaIOMIBoQRBxLYBU/F

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:#44783a

Other Hashes

Crop Resistant:8880000000000006

Scan History

Scan history not available

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