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Phishing Analysis

Detailed analysis of captured phishing page

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Captura Visual

Screenshot of saicharan181719.github.io

Información de Detección

https://saicharan181719.github.io/demo/
Detected Brand
Amazon
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
d04f5f83-b19…
Analyzed
2026-07-16 22:17

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T17B84B6A3E5B23033213B91D5E57E739860D2E31EE3424794EAE9033857DADA73917878
CONTENT ssdeep
6144:U1iLFNfzZ6BCo62HqnSMlcryHYU2m0hNawP5+2CUsOGJhBgaoVeMOf9QHOAWIzCA:tlNp4ZKNTvtLfGmqmrtpVbvTOT

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
e6424f1b131d926f
VISUAL aHash
00f3f7ffc7ff8381
VISUAL dHash
c187851655fd0747
VISUAL wHash
00e1f7c787ff8181
VISUAL colorHash
06603000000
VISUAL cropResistant
8282c2d2d2828282,878516165de00747,c8e860c84116d601,892726c79b33336f,70599858704dd978,4505151111050d41,062385a189192987,31b5272bb3b6ba33,090909090909c121

Análisis de Código

Risk Score 100/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Card Stealer 🎣 Banking 🎣 Personal Info

🔐 Credential Harvesting Forms

🔒 Obfuscation Detected

  • atob
  • eval
  • fromCharCode
  • unescape
  • hex_escape
  • unicode_escape
  • base64_strings

🎯 Kit Endpoints

  • https://www.aboutamazon.in/?utm_source=gateway&utm_medium=footer
  • /Butterfly-Processor-Kneading-Chopping-Technology/dp/B0G919B5LS/?_encoding=UTF8&pd_rd_w=IXOdc&content-id=amzn1.sym.5c0a264c-bdd7-4a86-844e-e6d569651a97&pf_rd_p=5c0a264c-bdd7-4a86-844e-e6d569651a97&pf_rd_r=3R6APN2FYGRRDZ489NMX&pd_rd_wg=lvWlG&pd_rd_r=63169104-6cc8-4f13-9f88-87331a53a682&ref_=pd_hp_d_btf_ls_gwc_pc_en2_
  • /ref=nav_logo
  • /boAt-Nirvana-Technology-Detection-Bluetooth/dp/B0BW8TXJJ2/?_encoding=UTF8&pd_rd_w=yJso8&content-id=amzn1.sym.14ff1b43-540a-4bfd-a18c-350bea29dfa2&pf_rd_p=14ff1b43-540a-4bfd-a18c-350bea29dfa2&pf_rd_r=3R6APN2FYGRRDZ489NMX&pd_rd_wg=7Hx11&pd_rd_r=71886816-c85d-4cbb-aad9-3379ecb59663&ref_=pd_hp_d_atf_Headphones
  • https://press.aboutamazon.in/?utm_source=gateway&utm_medium=footer
  • /ref=footer_logo

📡 API Calls Detected

  • POST
  • GET
  • https://9eya4arjbh.execute-api.us-east-1.amazonaws.com/prod/reportvideo

📤 Form Action Targets

  • get
  • /s/ref=nb_sb_noss

📊 Desglose de Puntuación de Riesgo

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
Credential Harvesting
Credential harvesting detected with 2 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 2628 technique(s) to evade detection

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Banking Credential Harvester
Objetivo
Amazon users
Método de Ataque
credential harvesting forms + obfuscated JavaScript
Canal de Exfiltración
HTTP POST to backend
Evaluación de Riesgo
CRITICAL - Automated credential harvesting with HTTP POST to backend

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Card Stealer, Banking, Personal Info
  • 2628 obfuscation techniques

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Amazon
Official Website
https://www.amazon.com
Fake Service
Banking/payment 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: JavaScript Obfuscation

Malicious code is obfuscated using 2628 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
saicharan181719.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

Scan History for saicharan181719.github.io

Found 1 other scan for this domain

😰
"Nunca pensé que me pasaría a mí"
Esto dicen las 2.3 millones de víctimas cada año. No esperes a ser una estadística.