Security Scan Report: web.whatsapp.fk.hl.cn

Redirected to:
https://web.whatsapp.fk.hl.cn/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 6 HTTP transactions. The main domain is fk.hl.cn and was registered 7 months ago.

Submitted URL: http://web.whatsapp.fk.hl.cn/

Effective URL:
https://web.whatsapp.fk.hl.cn/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Unofficial 'WhatsApp Web' page on web.whatsapp.fk.hl.cn using WhatsApp branding on a non-WhatsApp domain. No forms and no malware signals, but the brand impersonation and deceptive subdomain warrant caution.

Risk Factors (3)
Impersonation of a different entity's brand (WhatsApp) on a domain that is not WhatsApp's official domain
Deceptive hostname embedding the brand name 'whatsapp' in a subdomain
Unranked domain on a shared, instantly-publishable namespace (hl.cn) with unknown real age
Safety Factors (4)
No forms at all — no credential, password or payment fields to harvest data
No Indicators of Compromise, YARA matches, IDS alerts or Safe Browsing hits
All JavaScript served from the site's own domain; no cross-origin network activity
Page carries a disclaimer stating it is a demo and not an official WhatsApp product
Domain age information unavailable

Details

Page Title

WhatsApp Web

Scan Type

public

Domain Name Analysis

You're looking at domain 'web.whatsapp.fk.hl.cn' on the Chinese country-code top-level domain (.hl.cn) with subdomain 'web.whatsapp'. Its registrable label 'fk' stretches across 2 characters containing zero vowels alongside 2 consonants. Tokenizing the label suggests one word: fk. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://web.whatsapp.fk.hl.cn/

Page Load Overview

2.54s
Total Load Time
280 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:1,334 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network86% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
86%
technology software
83%
government public service
75%
news media journalism
74%
blog personal website
74%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.17.24.14United States
AS13335Cloudflare, Inc.
345.197.55.22Seychelles
AS9294GNET INC.
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EAD2312A21F351366993A0A66BF6434B2F64D807CC0BCA193A9C17C88FC7DD59C83B4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3dgx9WhzFEF3EFnhynS2ZbCthYoxvh9Nu9:3dc9mzFEF3EFnMnS2ZbCthYoxvh9NM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30605:LYAAJBLPAYYCkBPDQAGKAlWwYIgBEoHwAgFS4QAw/AExAigCgIwlAIjGC4SQQYEWICS4XQ2TARsFEQgEliOlBeDlxQEQNAWG

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:fff28383b3ffffe7
Perceptual Hash:adcdc3c39298b8c5
Difference Hash:4846323266040109
Wavelet Hash:ff32010191f5f1e1
Color Hash:#93501f

Other Hashes

Crop Resistant:4846323266040109

Scan History

Scan history not available

Unable to load historical scan data