SafeMode - Analysis: havancartaolimitecard.vercel.app

Captura Visual

Screenshot of havancartaolimitecard.vercel.app

Información de Detección

https://havancartaolimitecard.vercel.app/

Detected Brand

Havan

Country

Unknown

Confianza

95%

HTTP Status

200

Report ID

71f10abc-27f…

Analyzed

2026-07-16 20:09

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm	Hash Value
CONTENT TLSH	T178026230E144B93BB157E9C4E694CB8B70C18746C297DF4087F653BAE9CBDF29A1024A
CONTENT ssdeep	96:MuwebOULS1hBWYe5Yu8pjZnwX30pKbMtSdwY/nZIq/ww/c3/b1:IebOULSzUY4YXpjZnwX30pKJdwYhkZJ

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm	Hash Value
VISUAL pHash	d966e64839192eb6
VISUAL aHash	00ff1a18181818ff
VISUAL dHash	41ceb432b2b2b28c
VISUAL wHash	80fff718181818ff
VISUAL colorHash	010000001c0
VISUAL cropResistant	8000b08c8c8c0088,b09ade543a704d5c,88008c8c8cb00080,41ceb432b2b2b28c

Análisis de Código

Risk Score 20/100

Nivel de Amenaza ALTO

⚠️ Phishing Confirmed

📡 API Calls Detected

https://ipapi.co/json/

📊 Desglose de Puntuación de Riesgo

Total Risk Score

40/100

🔬 Análisis Integral de Amenazas

Tipo de Amenaza

Havan Phishing Landing Page

Objetivo

Havan users

Método de Ataque

Phishing webpage

Canal de Exfiltración

Form submission (backend endpoint not detected - likely JavaScript-based)

Evaluación de Riesgo

LOW - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

🏢 Análisis de Suplantación de Marca

Impersonated Brand

Havan

Official Website

N/A

Fake Service

Credential harvesting service

⚔️ Metodología de Ataque

Primary Method: Search Engine Manipulation

Fake Havan site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.

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.