SafeMode - Analysis: m.19981.buzz

Captura Visual

Información de Detección

http://m.19981.buzz/

Detected Brand

Multiple (Sands, bet365, Grand Lisboa, Suncity)

Country

Unknown

Confianza

95%

HTTP Status

200

Report ID

573077f0-0c6…

Analyzed

2026-08-03 22:13

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1084124306046D9A70DF1A3D64336672BA7C546E3CA1B0E8292F99BCE5B94D4CDC4B44A
CONTENT ssdeep	24:hrUsOQ/CXEONETC8ETC8ETCQwjW6nwjQ6X9wj+6HwjS60wjmN6/wju1u676MNEjd:tPP/Eo00t6N6XD6l6ON6Zu6EfzoB36

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	9e9664c93933c94d
VISUAL aHash	1c3e3c3c183c0000
VISUAL dHash	e4ececccb2f0c4f0
VISUAL wHash	7e7e7e7e3c3c0000
VISUAL colorHash	30206000000
VISUAL cropResistant	e4ececccb2f0c4f0

Análisis de Código

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

📊 Desglose de Puntuación de Riesgo

Total Risk Score

40/100

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Multiple (Sands, bet365, Grand Lisboa, Suncity) Phishing Landing Page

Objetivo

Multiple (Sands, bet365, Grand Lisboa, Suncity) users

Método de Ataque

Phishing webpage

Canal de Exfiltración

Form submission (backend endpoint not detected - likely JavaScript-based)

Evaluación de Riesgo

LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

🏢 Análisis de Suplantación de Marca

Impersonated Brand

Multiple (Sands, bet365, Grand Lisboa, Suncity)

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: SEO Poisoning Landing Page

Fake Multiple (Sands, bet365, Grand Lisboa, Suncity) page designed to appear in search results and trick users into visiting. May redirect to credential harvesting pages, malware downloads, or serve as a trust-building step before requesting sensitive information.

Secondary Method: Standard Phishing Techniques

Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.