Security Scan Report: pak3whatsapp.com

Redirected to: https://pak3whatsapp.com/#/

Submitted: Jan 11, 2026, 8:03:20 PMCompleted: Jan 11, 2026, 8:06:10 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 58 HTTP transactions. The main domain is pak3whatsapp.com and was registered NaN years ago.

Submitted URL: https://pak3whatsapp.com/

Effective URL: https://pak3whatsapp.com/#/Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate

Safety Factors
Domain is newly registered but no malicious Indicators of Compromise detected
No forms, password fields, or payment fields present
No brand impersonation or phishing content observed
Domain age information unavailable

Details

Page Title

BDGETMONEY

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the commercial generic top-level domain (.com), 'pak3whatsapp.com' is registered with no subdomain. Its registrable label 'pak3whatsapp' stretches across 12 characters split between three vowels and 8 consonants, plus 1 digit. It segments into 5 words: pak, 3, what, s, app. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pak3whatsapp.com/

Page Load Overview

90.13s
Total Load Time
48
HTTP Requests
3
Domains
206 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:zh-CN
Text Length:850 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as bn

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
16163.181.58.166Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
16188.114.96.3United States
AS13335CLOUDFLARENET
16124.220.205.65United States
483--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB93A631758E282B6437C4C9B5C0DA58681A9F33C32509E8F7552EBDDFCADF21A26709

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zYdZXEni/57Ql63T66r+RHfUR7edfxb69yRfmqVnL039pX/8nKlONlOIljYXi8qh:5mr+RHfUR7edfrQr/8nKlONlOIljYU5l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94291:GgaiRBZYaIcErAcqWCAIYliQQFlBZFcDABoAmiAWEOJMIEfwFWhEAQFADEAoIAsk6iSiUyQ5dLQMRIkowZgEPVgWVLAANKWC

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:e7e7e7e7e7e7e7e7
Perceptual Hash:e6336666cc643366
Difference Hash:4d4d4d55554d4d4d
Wavelet Hash:e0e0e4e4e0e0e4e4
Color Hash:#8a1f93

Scan History

Scan history not available

Unable to load historical scan data