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Captura Visual

Screenshot of ios3-neq.pages.dev

Información de Detección

http://ios3-neq.pages.dev/
Detected Brand
Apple
Country
Unknown
Confianza
100%
HTTP Status
200
Report ID
a996563b-65f…
Analyzed
2026-01-27 23:47
Final URL (after redirects)
https://ios3-neq.pages.dev/

Hashes de Contenido (Similitud HTML)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T148029BA1B097513F267387C5B6E56F6EA3D0850CCBC2C95391EC837B0B9BE48A95F424
CONTENT ssdeep
192:ZoF2j6FOjH6OHL5aXySn+nhTnCn+nl9nD/xNuESvVCM+9BVymjPE3:9ro2MsY3

Hashes Visuales (Similitud de Captura)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
ecd33c0e5b2c5964
VISUAL aHash
00ffffffff938381
VISUAL dHash
a105074345272627
VISUAL wHash
00f7e7ffff010300
VISUAL colorHash
076000000c0
VISUAL cropResistant
8107074165272627,0000000000000000,8d262527243d7973,3f3fa72167131333,9d1e3c5b5e6c1b1f

Análisis de Código

Risk Score 68/100
Nivel de Amenaza ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer

🔐 Credential Harvesting Forms

🔒 Obfuscation Detected

  • fromCharCode

📤 Form Action Targets

  • http://www.apple.com/us/search

📊 Desglose de Puntuación de Riesgo

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected Credential Harvester and OTP Stealer kits with real-time form interception capabilities.
Obfuscation Techniques
Four distinct obfuscation techniques detected, increasing evasion and analysis difficulty.
Brand Impersonation
Targeting Apple, a high-value brand, increasing likelihood of successful credential theft.
Malicious JavaScript
Presence of multiple suspicious JavaScript files (e.g., text_tel.js) with potential for credential harvesting.

🔬 Análisis Integral de Amenazas

Tipo de Amenaza
Two-Factor Authentication Stealer
Objetivo
Apple users
Método de Ataque
credential harvesting forms + obfuscated JavaScript
Canal de Exfiltración
HTTP POST to backend
Evaluación de Riesgo
HIGH - Automated credential harvesting with HTTP POST to backend

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer
  • 4 obfuscation techniques

🏢 Análisis de Suplantación de Marca

Impersonated Brand
Apple
Official Website
https://www.apple.com
Fake Service
Apple ID account verification

⚔️ Metodología de Ataque

Primary Method: Credential Harvesting

The phishing kit employs a credential harvester to capture Apple ID usernames and passwords via fake login forms. Data is likely exfiltrated in real-time to an attacker-controlled server upon submission.

Secondary Method: OTP Stealer

The OTP Stealer kit intercepts one-time passwords (OTPs) entered by victims, enabling attackers to bypass two-factor authentication (2FA) protections on compromised accounts.

🌐 Indicadores de Compromiso de Infraestructura

Domain Information

Dominio
ios3-neq.pages.dev
Registered
Unknown
Registrar
Unknown
Estado
Hosting platform (subdomain)

🦠 Malicious Files

Main File
File Size

Contains obfuscated code likely used for credential harvesting or OTP interception.

📊 Diagrama de Flujo de Ataque

┌──────────────────────────────────────────────────────────┐
│ 1. VICTIM RECEIVES PHISHING EMAIL                         │
│    - Email mimics Apple branding                         │
│    - Contains link to fake login page                    │
└────────────────────┬─────────────────────────────────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────┐
│ 2. VICTIM CLICKS LINK                                     │
│    - Redirected to spoofed Apple site                    │
│    - Displays fake login form                            │
└────────────────────┬─────────────────────────────────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────┐
│ 3. CREDENTIAL SUBMISSION                                 │
│    - Victim enters Banking credentials                   │
│    - Form captures input                                 │
└────────────────────┬─────────────────────────────────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────┐
│ 4. DATA EXFILTRATION                                     │
│    - Credentials sent via HTTP POST                      │
│    - Single endpoint receives stolen data                │
└──────────────────────────────────────────────────────────┘

🔬 JavaScript Deep Analysis

Sophistication Level
Basic
Total Code Size
7,6 KB

🔐 Obfuscation Detected

  • : None
  • : None

🤖 AI-Extracted Threat Intelligence

📊 Attack Flow

┌──────────────────────────────────────────────────────────┐
│ 1. VICTIM RECEIVES PHISHING EMAIL                         │
│    - Email mimics Apple branding                         │
│    - Contains link to fake login page                    │
└────────────────────┬─────────────────────────────────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────┐
│ 2. VICTIM CLICKS LINK                                     │
│    - Redirected to spoofed Apple site                    │
│    - Displays fake login form                            │
└────────────────────┬─────────────────────────────────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────┐
│ 3. CREDENTIAL SUBMISSION                                 │
│    - Victim enters Banking credentials                   │
│    - Form captures input                                 │
└────────────────────┬─────────────────────────────────────┘
                     │
                     ▼
┌──────────────────────────────────────────────────────────┐
│ 4. DATA EXFILTRATION                                     │
│    - Credentials sent via HTTP POST                      │
│    - Single endpoint receives stolen data                │
└──────────────────────────────────────────────────────────┘

🎯 Malicious Files Identified

😰
"Nunca pensé que me pasaría a mí"
Esto dicen las 2.3 millones de víctimas cada año. No esperes a ser una estadística.