Security Scan Report: pk3wagetmoney.com

Redirected to:
https://pk3wagetmoney.com/#/
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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 3 countries across 3 domains to perform 63 HTTP transactions. The main domain is pk3wagetmoney.com and was registered 10 months ago.

Submitted URL: https://pk3wagetmoney.com/

Effective URL:
https://pk3wagetmoney.com/#/
Redirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing site impersonating Telegram; avoid and report.

Risk Factors (5)
Brand impersonation / typosquatting (Telegram) on an unranked, newly‑registered domain
Critical domain age (<7 days) amplifying suspicion
Unranked domain in Cisco Umbrella (poor reputation)
Gibberish OCR content suggesting deceptive messaging
Absence of legitimate site elements (no clear purpose, no functional forms)
Domain age information unavailable

Details

Page Title

PKWAEARN

Scan Type

public

Domain Name Analysis

You're looking at domain 'pk3wagetmoney.com' on the commercial generic top-level domain (.com). The registrable portion 'pk3wagetmoney' spans 13 characters with 4 vowels and 8 consonants, plus 1 digit. Tokenizing the label suggests 5 words: pk, 3, wa, get, money. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pk3wagetmoney.com/

Page Load Overview

6.99s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:60%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:zh-CN
Text Length:811 chars
Detector Agreement:100%
Language mismatch: Declared as zh-CN but detected as ar

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21163.181.58.167Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
21104.26.0.212United States
AS13335CLOUDFLARENET
21106.54.228.253Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
633--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E793B721718E3D272537C4C5B880DA6869179B33C3560978F7652BBD8FC7DD32A2AB09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OYdZXEniZ7Ql63T66r+RHfUR7edfxb69yRfmqv7HALPDJhbGnKlDdNlVIlsY+rwk:imr+RHfUR7edfJELbGnKlDdNlVIlsYkD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94449:AjYjQIRkCKUCCgCQBwchIpCNYA0AAaAsgKusqBC2B5EIzIIAFOC3RAWFICTMeRNCC4ACH4QlBwEMRgAMzZBIJSYAICYuQAKg

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:e7e7e7ffe7e7e7e7
Perceptual Hash:e633663299999b23
Difference Hash:4d4d4d55554d4d4d
Wavelet Hash:03030707c7c7c7c7
Color Hash:#772dd2

Scan History

Scan history not available

Unable to load historical scan data