Phishing Analysis
Detailed analysis of captured phishing page
Captura Visual
No screenshot available
Información de Detección
https://dune-e4xmshade.bapahi.ru/wfN2!RiBhiGQ9/[email protected]
Detected Brand
Unknown
Country
Unknown
Confianza
N/A
HTTP Status
200
Report ID
52c95f60-3cf…
Analyzed
2026-01-17 14:41
Hashes de Contenido (Similitud HTML)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4F078B1D1114C35A0A2C6E426E0D31A62C2C650CB074A411BE883DC0BDBD95CD9D7D4 |
|
CONTENT
ssdeep
|
12:nwZCy7F0ywFhR231tirAa9S5v0Ughdb6eLeK:ncCCqywOin9SpXghFSK |
Hashes Visuales (Similitud de Captura)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e66666668c999999 |
|
VISUAL
aHash
|
e7e7e7ffffffffff |
|
VISUAL
dHash
|
080c0c0000000000 |
|
VISUAL
wHash
|
e7e7e7ff00000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
080c0c0000000000 |
Análisis de Código
📡 API Calls Detected
- POST
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Pages with identical visual appearance (based on perceptual hash)
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"Nunca pensé que me pasaría a mí"
Esto dicen las 2.3 millones de víctimas cada año. No esperes a ser una estadística.