Security Scan Report: app-weq-whatshktw.com

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Submitted: Oct 12, 2025, 4:33:51 PMCompleted: Oct 12, 2025, 4:35:35 PMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 4 domains to perform 77 HTTP transactions. The main domain is app-weq-whatshktw.com and was registered NaN years ago.

Submitted URL: https://app-weq-whatshktw.com/

AI Security Verdict

High Risk

Confidence: 95%

10
Risk Score

High‑risk phishing site impersonating WhatsApp; do not trust or provide any credentials.

Risk Factors
Brand impersonation of WhatsApp on a newly registered, unranked domain
Domain age less than 7 days (critical risk)
Unranked domain with no reputation
External link to unrelated suspicious domain
Lack of legitimate brand verification (final URL not whatsapp.com)
Domain age information unavailable

Details

Page Title

app-weq-whatshktw.com

Scan Type

public

Language

🏳️

ZXX

(80% confidence)

Category

social media network

(38%)

Domain Information

Domain 'app-weq-whatshktw.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'app-weq-whatshktw' covers 17 characters containing 3 vowels alongside 12 consonants; bonus characters include two hyphens. Breaking it apart gives 7 words: app, we, q, what, s, hk, tw. Expect 2 characters per word on average. 'app' most strongly signals Chinese (Pinyin). Secondary signals appear in English and Dutch. Overall, 'app-weq-whatshktw.com' reads as Chinese (Pinyin) with character flair.

Screenshot

Security scan screenshot of https://app-weq-whatshktw.com/

Page Load Overview

73.96s
Total Load Time
77
HTTP Requests
4
Domains
273 KB
Total Size

Language Analysis

Primary Language

🏳️ZXX
Code: zxx
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:zxx
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:zxx
Text Length:1,391 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
38%
technology software
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1343.174.227.42Singapore
843.174.229.41Singapore
8119.188.220.225China
AS4837CHINA UNICOM China169 Backbone
849.71.39.36China
AS137697CHINATELECOM JiangSu YangZhou IDC networkdescr: YangZhouJiangsu Province, P.R.China.
891.204.227.187Los Angeles, California, United States
AS205960Hdtidc Limited
8210.56.49.234Hong Kong
AS152194CTG Server Limited
845.205.25.17New York, New York, United States
AS8796FD-298-8796
8240d:c010:74:3::b9Singapore
845.205.25.143New York, New York, United States
AS8796FD-298-8796
779--

Detected Technologies3

JQueryv3.6.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135D233B45951A3B3262315E871E61B18B8C3D34ECD770C65AFF49FF267E8D68E902086

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:nRDbWYI7ko87ZACYyOpTDOPJZDlii3QiKjcXrhR5z6uc4:RPWYI7ko87ZACYyOpTDOPJZDlii3QiK4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29864:g0IR5AoMBFCQADQMCFCIPQKNIkDsgDAlkXDrQkWBaAEQDKQZAQc4EWwIFTeAKGJAUiLC3AIKhAKX4siBGCmAMgBoGBCgkHkl

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:40002e6e8e8e0c80
Perceptual Hash:92656c12e781be4f
Difference Hash:840558581c3c0901
Wavelet Hash:e080eeeece8eccc1
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data