Phishing Analysis
Detailed analysis of captured phishing page
Captura Visual
Información de Detección
https://ubrs-staging.up.railway.app/
Detected Brand
Uber
Country
Unknown
Confianza
95%
HTTP Status
200
Report ID
b61685cd-767…
Analyzed
2026-08-07 01:09
Hashes de Contenido (Similitud HTML)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB31102292448C3B5003CAE5E3E5B72B25968342CD06164C4AF5D3E597F5EC5DE3F6C5 |
|
CONTENT
ssdeep
|
24:hR/C5sHN/+TN/0AlZhuQqBM3S9i8eSQK+kULoSKdu/pEb3ojhlloQdu/1elojhlr:TnNmTNMK8QKgK9od8 |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e659596633196666 |
|
VISUAL
aHash
|
00fffffff7ffffff |
|
VISUAL
dHash
|
0000080c0c0c0008 |
|
VISUAL
wHash
|
00ffffc300240c0c |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
00000c0c0c0c0000,0000004040000000 |
Análisis de Código
Nivel de Amenaza
ALTO
⚠️ Phishing Confirmed
🔐 Credential Harvesting Forms
📤 Form Action Targets
- post1.php
📊 Desglose de Puntuación de Riesgo
Total Risk Score
70/100
Contributing Factors
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data
🔬 Análisis Integral de Amenazas
Tipo de Amenaza
Uber Credential Harvester
Objetivo
Uber users
Método de Ataque
credential harvesting forms
Canal de Exfiltración
HTTP POST to backend
Evaluación de Riesgo
LOW - Automated credential harvesting with HTTP POST to backend
🏢 Análisis de Suplantación de Marca
Impersonated Brand
Uber
Official Website
N/A
Fake Service
Credential harvesting service
⚔️ Metodología de Ataque
Primary Method: Uber Credential Harvesting
Fake Uber login page with 1 form. Victim enters credentials which are captured and transmitted to attacker's server. Page may impersonate Uber official login to appear legitimate.
Secondary Method: Standard Phishing Techniques
Uses typical phishing tactics including brand impersonation, urgency tactics, and social engineering to trick victims into providing sensitive information.
🌐 Indicadores de Compromiso de Infraestructura
Domain Information
Dominio
ubrs-staging.up.railway.app
Registered
Unknown
Registrar
Unknown
Estado
Age unknown
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.