SafeMode - Analysis: abdul-manandev.github.io

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Captura Visual

Informações de Detecção

https://abdul-manandev.github.io/Assignment-no-7/

Detected Brand

Amazon

Country

Unknown

Confiança

100%

HTTP Status

200

Report ID

f7884ea3-ebf…

Analyzed

2026-05-08 22:16

Hashes de Conteúdo (Similaridade HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T13F81BC709482FA3710D7C2E6EF395B8F62E48295EE43471513F8D3A88BCAE4EDD61904
CONTENT ssdeep	96:TtN1sJJoqTrD1mP110RX5G+/pbIy7wiOkKv:B8JoqXEgCkKv

Hashes Visuais (Similaridade de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	8e19194edcd94e4e
VISUAL aHash	000301ff3430ffff
VISUAL dHash	72dbdf9464656525
VISUAL wHash	000301ff30b0ffff
VISUAL colorHash	07007000000
VISUAL cropResistant	a28082eaea828082,dbdf99e46565a565,62fb1adbdbff9d9e,d9e6766663697926,4c9736646d595932,adccd9b3b7b7beb6,616c6c5e1e7e7e7c,1d06028602029a9a

Análise de Código

Nível de Ameaça ALTO

⚠️ Phishing Confirmed

📊 Detalhamento da Pontuação de Risco

Total Risk Score

40/100

🔬 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: Malicious Landing Page

Uses Amazon 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.

Secondary Method: Standard Phishing Techniques

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