Security Scan Report: www.whatsspp.app

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is whatsspp.app and was registered 2 days ago.

Submitted URL: https://www.whatsspp.app/

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

1-day-old unranked domain whatsspp.app presents itself as the 'WhatsApp official account' with security-center messaging — a brand impersonation/typosquat lure. No credential form captured yet, but not an official WhatsApp site: avoid.

Risk Factors (5)
Brand impersonation of WhatsApp on a domain the brand does not own
Typosquat-style hostname (whatsspp.app) registered 1 day ago
Unranked, zero-reputation domain claiming to be a major brand's official account
Trust-building security-center messaging attributed to a brand that does not operate this domain
Page addresses users about account security codes without any verifiable affiliation
Domain age information unavailable

Details

Page Title

WhatsApp

Scan Type

public

Domain Name Analysis

The domain 'www.whatsspp.app' uses the application-focused generic top-level domain (.app) with subdomain 'www'. The second-level label 'whatsspp' is 8 characters long containing 1 vowel alongside seven consonants. Splitting it apart reveals three words: what, s, spp. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.whatsspp.app/

Page Load Overview

1.76s
Total Load Time
294 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:314 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network66% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
66%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
947.79.126.143Singapore
AS45102Alibaba (US) Technology Co., Ltd.
91--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2512F32C50C693F9123C2C9A1B0F66872A79B48D90E0558AEB513A552B9DA4B82F5DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n0VAN4Q1IxDKWoVgtCUczUnvMT7RpBjzAHBbzvH5VkjGR6LobP9WZrX49FArXhMk:nmviwt5CR2HdK29Z9cxcZfcnAfA+qc+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2966:ARjAAAAgAFAAACA0AgGAECAAEAAAgAEBEAAhGEABIMAIACggAVAEAgEAAkAEQKAACUAAVBAgJEIwAAEAQACgAgAQYAQCAAEg

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:e7e7e7ffffffffff
Perceptual Hash:b33366cccccc6626
Difference Hash:4d4d4d3230101030
Wavelet Hash:0707070f1b1b3b3b
Color Hash:#d22d9b

Scan History

Scan history not available

Unable to load historical scan data