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Security Scan Report: pk7wagetmoney.com

Redirected to: https://pk7wagetmoney.com/#/

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Submitted: Jan 1, 2026, 7:47:24 PMCompleted: Jan 1, 2026, 7:48:45 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 3 domains to perform 65 HTTP transactions. The main domain is pk7wagetmoney.com and was registered NaN years ago.

Submitted URL: https://pk7wagetmoney.com/

Effective URL: https://pk7wagetmoney.com/#/Redirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing site impersonating Telegram; do not trust or use.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Very new domain (<30 days) increases suspicion
Unranked domain suggests low reputation
Domain age information unavailable

Details

Page Title

PKWAEARN

Scan Type

public

Language

🇸🇦

Arabic

(60% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'pk7wagetmoney.com' is registered while skipping any subdomain. The registrable portion 'pk7wagetmoney' spans 13 characters containing four vowels alongside eight consonants; it also includes one digit. It segments into 5 words: pk, 7, 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://pk7wagetmoney.com/

Page Load Overview

6.63s
Total Load Time
63
HTTP Requests
3
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:ar
Detection Confidence:60%
Script Type:Arabic
HTML Lang Attribute:zh-CN
Text Length:811 chars
Detector Agreement:100%
Language mismatch: Declared as zh 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
15172.67.186.104United States
AS13335CLOUDFLARENET
12118.25.42.241Germany
AS24429
12106.54.228.253China
AS13335
12163.181.58.167Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
12163.181.58.166UnknownUnknown
635--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14293B721718E3D272537C4C5B880DA6869179B33C3560978F7652BBD8FC7DD32A2AB09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OYdZXEniZ7Ql63T66r+RHfUR7edfxb69yRfmqv7HALPDJ9bGnKlzdNlVIl0Y+rw/:imr+RHfUR7edfJEfbGnKlzdNlVIl0Ykk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94449:BKIDrEoiBj/iAVQDBoQEI5CCZgwEQQCHAGGIYAAFA0jJi+gWwSOWogIFBYSVGYnD6JACWQAFPaBUBlgFBlpexACLBgYoCEYk

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:07070707c7c7c7c7
Color Hash:#6cb3e0

Other Hashes

Crop Resistant:4d4d4d55554d4d4d,b68e8aaa968ca2b2,e945d0ccd4f15494

Scan History

Scan history not available

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