SafeMode - Analysis: bagyalakshmi-velu.github.io

Captura Visual

Screenshot of bagyalakshmi-velu.github.io

Información de Detección

http://bagyalakshmi-velu.github.io/amazon

Detected Brand

Amazon

Country

Unknown

Confianza

100%

HTTP Status

200

Report ID

cb5b6b1c-a8e…

Analyzed

2026-05-06 10:22

Final URL (after redirects)

https://bagyalakshmi-velu.github.io/amazon/

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T1D8022AA0C8B5D6B714D361B4D3752ED53FC1934282670E1453F99349BEAADCACE23938
CONTENT ssdeep	96:TwJLidPIM4PHWR4MV57wcLJiJ/JEJpJOJLJAJFJpJEJoV57wctKm:YLHeUIJiJ/JEJpJOJLJAJFJpJEJAUAKm

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	f94f134813875b4e
VISUAL aHash	00fbf8ffc0c0ffcf
VISUAL dHash	e11702b295959b9d
VISUAL wHash	00d1f0ffc0c0ff4e
VISUAL colorHash	07401010000
VISUAL cropResistant	808082c2c2c28080,9313629695979b9d,e9c1236397176222,1c3d4cd6699d8503,981f3ba1c5c5b909,0f4e4c4e0616c667,41694d6c5e5e7e3e

Análisis de Código

Risk Score 50/100

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

🎣 Credential Harvester

🎯 Kit Endpoints

./login.html

📡 API Calls Detected

./product.json

📊 Desglose de Puntuación de Riesgo

Total Risk Score

70/100

Contributing Factors

Active Phishing Kit

Detected kit types: Credential Harvester

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Credential Harvesting Kit

Objetivo

Amazon users

Método de Ataque

Phishing webpage

Canal de Exfiltración

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

Evaluación de Riesgo

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

⚠️ Indicators of Compromise

Kit types: Credential Harvester

🏢 Análisis de Suplantación de Marca

Impersonated Brand

Amazon

Official Website

https://www.amazon.com

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: Credential Harvesting

Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.

Secondary Method: Client-Side Form Interception

JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.