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Phishing Analysis

Detailed analysis of captured phishing page

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Captura Visual

Screenshot of deschnitzer-spec.github.io

Información de Detección

https://deschnitzer-spec.github.io/LEDGER-app
Detected Brand
Ledger
Country
Unknown
Confianza
95%
HTTP Status
200
Report ID
c7193c24-693…
Analyzed
2026-08-05 10:22
Final URL (after redirects)
https://deschnitzer-spec.github.io/LEDGER-app/

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T182B244A090A82B3345138AC978D2636EB4F5C24AD5953150BBFC97FC4FDAD20EA6F447
CONTENT ssdeep
384:7Hr5mbAOfoctMnxZZgTKMxcc6xH1p1oMx7q9fYxP/kq:ZmCxZm6zXjcukq

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
cc363399cc669999
VISUAL aHash
0000181818180000
VISUAL dHash
68683032b2b20430
VISUAL wHash
3c3c3c3c3c3c3c3c
VISUAL colorHash
38188000000
VISUAL cropResistant
8204304d4d041080,68683032b2b20430

Análisis de Código

Risk Score 50/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Personal Info

📊 Desglose de Puntuación de Riesgo

Total Risk Score
70/100

Contributing Factors

Active Phishing Kit
Detected kit types: Personal Info
Credential Harvesting
Credential harvesting detected with 4 form(s) capturing sensitive data

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Phishing Kit (Personal Info)
Objetivo
Ledger users
Método de Ataque
credential harvesting forms
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: Personal Info

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Ledger
Official Website
N/A
Fake Service
Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: Ledger Credential Harvesting

Fake Ledger login page with 4 forms. Victim enters credentials which are captured and transmitted to attacker's server. Page may impersonate Ledger official login to appear legitimate.

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.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
deschnitzer-spec.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

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