EN ES PT

Phishing Analysis

Detailed analysis of captured phishing page

Back to Stats

Visual Capture

Screenshot of v0-pagar-pendencias-ser.vercel.app

Detection Info

https://v0-pagar-pendencias-ser.vercel.app/
Detected Brand
Serasa
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
2ea442f2-c5e…
Analyzed
2026-08-01 06:16

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T18E931AA43A5DF5665AF3439310AF1103B339552B540E4D20A350ECAEB6BCC9BA077FDA
CONTENT ssdeep
1536:xEXFfbsQmlo2h2wV9LHd8tVPTMn57BAPuW8Fuz8k:OXjUMAL98n0AV8Fg

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
d72a5d2a7722d588
VISUAL aHash
0000ffe7fffffffe
VISUAL dHash
1030284d30000102
VISUAL wHash
00001f07f3f3f3f2
VISUAL colorHash
06000000007
VISUAL cropResistant
282a4d0000000102,4040804008103232

Code Analysis

Risk Score 79/100
Threat Level ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester 🎣 OTP Stealer 🎣 Banking

🔒 Obfuscation Detected

  • atob
  • fromCharCode
  • unicode_escape

📡 API Calls Detected

  • pageview

📊 Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking
Code Obfuscation
JavaScript code obfuscated using 12 technique(s) to evade detection

🔬 Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Serasa users
Attack Method
obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
HIGH - Automated credential harvesting with Form submission (backend endpoint not detected - likely JavaScript-based)

⚠️ Indicators of Compromise

  • Kit types: Credential Harvester, OTP Stealer, Banking
  • 12 obfuscation techniques

🏢 Brand Impersonation Analysis

Impersonated Brand
Serasa
Official Website
N/A
Fake Service
Banking/payment service

⚔️ Attack Methodology

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: JavaScript Obfuscation

Malicious code is obfuscated using 12 techniques to evade detection by security scanners and make reverse engineering more difficult.

🌐 Infrastructure Indicators of Compromise

Domain Information

Domain
v0-pagar-pendencias-ser.vercel.app
Registered
Unknown
Registrar
Unknown
Status
Hosting platform (subdomain)

Hosting Information

Provider
Unknown
ASN

🤖 AI-Extracted Threat Intelligence

😰
"I Never Thought It Would Happen to Me"
That's what 2.3 million victims say every year. Don't wait to become a statistic.