SafeMode - Analysis: sainikkr.github.io

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Captura Visual

Informações de Detecção

https://sainikkr.github.io/demo/

Detected Brand

Amazon

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

0fe77c31-f7c…

Analyzed

2026-06-30 10:10

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1B5919A709082A93701D3C3D2EF39576F72998690EA43570913F4C34C8ADAE5EDE36914
CONTENT ssdeep	96:TSJ+BAJfjD9PVS/oC87fjQ0D/YmRRgUuMhMhMhMse:uMyJlTPEMhMhMhMse

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19394edcc84f4e
VISUAL aHash	000b01ff3430ffff
VISUAL dHash	72dbdfb46465a555
VISUAL wHash	000301ff30b0ffff
VISUAL colorHash	07207000000
VISUAL cropResistant	8080e068e8e08080,dbdf9b646565a555,62db1adbdbff9dde,d9e6766663697926,4c9737666d595932,adccd9b3b7b7bebe,616c6c5e1e7e7e7c,0d06028206129a9a

Análise de Código

Nível de Ameaça ALTO

⚠️ Phishing Confirmed

📊 Detalhamento da Pontuação de Risco

Total Risk Score

70/100

🔬 Análise Integral de Ameaças

Tipo de Ameaça

Amazon Phishing Landing Page

Alvo

Amazon users

Método de Ataque

Phishing webpage

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)

🏢 Análise de Falsificação de Marca

Impersonated Brand

Amazon

Official Website

https://www.amazon.com

Fake Service

Credential harvesting service

⚔️ Metodologia de Ataque

Primary Method: SEO Poisoning Landing Page

Fake Amazon 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.