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Captura Visual

Screenshot of fuhsa.bursary-edu.ng

Información de Detección

https://fuhsa.bursary-edu.ng/
Detected Brand
Federal University of Health Sciences, Azare (FUHSA)
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
cf1b16aa-5eb…
Analyzed
2026-08-24 23:49

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T18852E0B08A0F5436B357B2E558369E0CAEF1C64BE34A241C59FB61CC83A9D90875F9F4
CONTENT ssdeep
384:axgDU0WbC8nK2mnFBoUo28xgtqWYAoVQ7ohTnBa2+KZmBZ0VoUzvGgvRon5:4gI0WbrK2mnFCUo28xgtqWYAoVQ7ohTa

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
999866337427d9cc
VISUAL aHash
00183c3c3c180000
VISUAL dHash
ccb2b2b2b2b2b2c4
VISUAL wHash
1e3e3c3c3c3c7870
VISUAL colorHash
010000001c0
VISUAL cropResistant
8ecc8e96fa803333,ccb2b2b2b2b2b2c4

Análisis de Código

Risk Score 65/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer

📊 Desglose de Puntuación de Riesgo

Total Risk Score
100/100

Contributing Factors

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

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Two-Factor Authentication Stealer
Objetivo
Federal University of Health Sciences, Azare (FUHSA) users
Método de Ataque
credential harvesting forms
Canal de Exfiltración
Form submission (backend endpoint not detected - likely JavaScript-based)
Evaluación de Riesgo
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Federal University of Health Sciences, Azare (FUHSA)
Official Website
N/A
Fake Service
Credential harvesting 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: 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
fuhsa.bursary-edu.ng
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.