SafeMode - Analysis: moonlit-twilight-2e4a17.netlify.app

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Captura Visual

Screenshot of moonlit-twilight-2e4a17.netlify.app

Información de Detección

https://moonlit-twilight-2e4a17.netlify.app/

Detected Brand

Serasa

Country

Unknown

Confianza

100%

HTTP Status

200

Report ID

e68bb201-d8b…

Analyzed

2026-04-23 19:11

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T17341C0708016DD2711A2D1D4E6B59F1F27828359DB070B62E3F8837E6EC9D68EF28894
CONTENT ssdeep	24:htOupfpdMHCk8ghqyEpZooIyST6jB7UTzl4XgURyPlEIn1w8gtEyU:+up8iOpE07TyITxHPmw

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8103012a7e7e7e7e
VISUAL aHash	003f7fffffffffff
VISUAL dHash	d1d0c10080000080
VISUAL wHash	000303c30c0cffff
VISUAL colorHash	07000000007
VISUAL cropResistant	d1d0d00080000080,8040410145414080,13ec5c5c83c4b231

Análisis de Código

Risk Score 3/100

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

🔒 Obfuscation Detected

base64_strings

📊 Desglose de Puntuación de Riesgo

Total Risk Score

70/100

Contributing Factors

Code Obfuscation

JavaScript code obfuscated using 6 technique(s) to evade detection

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Serasa Phishing Landing Page

Objetivo

Serasa users

Método de Ataque

obfuscated JavaScript

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)

⚠️ Indicators of Compromise

6 obfuscation techniques

🏢 Análisis de Suplantación de Marca

Impersonated Brand

Serasa

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: Malicious Landing Page

Uses Serasa branding to appear legitimate in search results, social media, or advertising networks. Designed to redirect victims to phishing pages or distribute malware while maintaining appearance of authenticity.