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Security Scan Report: pp.whatsappuk.cc

Submitted: Dec 17, 2025, 5:01:56 PMCompleted: Dec 17, 2025, 5:03:47 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is pp.whatsappuk.cc and was registered NaN years ago.

Submitted URL: https://pp.whatsappuk.cc/

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

High‑risk phishing site impersonating WhatsApp; do not trust.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Very new domain (<7 days) used for potential credential harvesting
Presence of "Login" text suggests credential collection intent
Unusual subdomain structure (pp.whatsappuk.cc) mimicking WhatsApp
Domain age information unavailable

Details

Page Title

pp.whatsappuk.cc

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

Within the .cc country-code top-level domain, 'pp.whatsappuk.cc' is registered; it also runs on subdomain 'pp'. Its registrable label 'whatsappuk' stretches across 10 characters containing 3 vowels alongside seven consonants. Tokenizing the label suggests four words: what, s, app, uk. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pp.whatsappuk.cc/

Page Load Overview

30.13s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
62%
adult content
52%
social media network
33%
phishing scam
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3103.163.208.118Hong Kong
AS153656OWGELS INTERNATIONAL CO., LIMITED
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T121D2602C7442385AA17BC9C7F8616F18B0235B3EDA294A58F7FA23546FD6CE00975738

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BLtpCamt2fHCVV5R5rG59Ej4eb/CGFQ7j4eb/CGFJNeiLTCEFS5L1L1L1L1L/MTx:BLbCamt2fHCVV5R5rG59Ee7/g8FS5L1k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29592:gogOGQII4LGSzGdsECB1YDTggKEYMIAKFBIMcYIBAOBgkqkFnYxATEg8HLB0MDAgAgIDEN8kHAQRGRIAcOAKNZHPwCBAaMBg

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:ff808088ff033a3f
Perceptual Hash:87f883f883f4b283
Difference Hash:a0010c0041aaeac8
Wavelet Hash:ff000000ff5b5a7f
Color Hash:#60ac53

Other Hashes

Crop Resistant:a0010c0041aaeac8

Scan History

Scan history not available

Unable to load historical scan data