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Captura Visual

Screenshot of ziadanish2025.github.io

Información de Detección

https://ziadanish2025.github.io/Login-to-facebook/
Detected Brand
Facebook
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
ee46c604-36b…
Analyzed
2026-06-29 22:19

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1B8417360002C5CB98683D6E827E6751271C9C242CF4B16585BF4DBAD2AD3DDAECAD3D8
CONTENT ssdeep
48:TCkCTFZ0c8K2aOJu/crWhJ+tEp4/s/TSm72:TxqSdu9+tEp407SmK

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
cccc333399cc6633
VISUAL aHash
1818181800001818
VISUAL dHash
1030323210083030
VISUAL wHash
1c1c3c3c0c0c1c1c
VISUAL colorHash
380000001c0
VISUAL cropResistant
1030323210083030

Análisis de Código

Risk Score 50/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester

🔐 Credential Harvesting Forms

📤 Form Action Targets

  • https://submit-form.com/FTSrHCvnr

📊 Desglose de Puntuación de Riesgo

Total Risk Score
70/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester
Credential Harvesting
Credential harvesting detected with 1 form(s) capturing sensitive data

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Credential Harvesting Kit
Objetivo
Facebook users
Método de Ataque
credential harvesting forms
Canal de Exfiltración
HTTP POST to backend
Evaluación de Riesgo
MEDIUM - Automated credential harvesting with HTTP POST to backend

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Facebook
Official Website
https://www.facebook.com
Fake Service
Account login portal

⚔️ 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.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
ziadanish2025.github.io
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

Scan History for ziadanish2025.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.