SafeMode - Analysis: fanciful-wisp-97d157.netlify.app

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Captura Visual

Screenshot of fanciful-wisp-97d157.netlify.app

Informações de Detecção

https://fanciful-wisp-97d157.netlify.app/

Detected Brand

Serasa

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

12ab31f1-86f…

Analyzed

2026-05-02 10:24

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1F541AE708016DD2711A2D1D4E6B59F1F27828359DB431B62E3F8837E6EC9D68EF28894
CONTENT ssdeep	24:htOupfpdMHCk8ghqyELoIyST6jB7UT0gURyPlEIn1w8gtEyU:+up8iOpEL7TyITfHPmw

Hashes Visuais (Similaridade 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	000100c0c0c0fdff
VISUAL colorHash	07000000007
VISUAL cropResistant	d1d0d00080000080,8040410141414080,13ec5c5c83c4b231

Análise de Código

Risk Score 3/100

Nível de Ameaça ALTO

⚠️ Phishing Confirmed

🔒 Obfuscation Detected

base64_strings

📊 Detalhamento da Pontuação de Risco

Total Risk Score

70/100

Contributing Factors

Code Obfuscation

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

🔬 Análise Integral de Ameaças

Tipo de Ameaça

Serasa Phishing Landing Page

Alvo

Serasa users

Método de Ataque

obfuscated JavaScript

Canal de Exfiltração

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

Avaliação de Risco

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

⚠️ Indicators of Compromise

6 obfuscation techniques

🏢 Análise de Falsificação de Marca

Impersonated Brand

Serasa

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Metodologia de Ataque

Primary Method: Search Engine Manipulation

Fake Serasa site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.