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Visual Capture

Screenshot of pagar-pendencias.vercel.app

Detection Info

https://pagar-pendencias.vercel.app/
Detected Brand
Serasa
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
5b70ccb1-73fโ€ฆ
Analyzed
2026-08-13 23:18

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1CD8319A43A5DF5665AF3439310AF1103B339552B580E4D20A350ECAE76BCC9BA067FDA
CONTENT ssdeep
1536:UXFfbsQmlo2h2wV9LHd8tVPTMn57BAPuW8Fuz8k:UXjUMAL98n0AV8Fg

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
f35f5d5c66228a88
VISUAL aHash
0000ffe7ffffffff
VISUAL dHash
1030284d30000000
VISUAL wHash
00001f070f0f0f0f
VISUAL colorHash
06000000007
VISUAL cropResistant
282a4d0000000000,4040804008103232

Code Analysis

Risk Score 79/100
Threat Level ALTO
โš ๏ธ Phishing Confirmed
๐ŸŽฃ Credential Harvester ๐ŸŽฃ OTP Stealer ๐ŸŽฃ Banking

๐Ÿ”’ Obfuscation Detected

  • atob
  • fromCharCode
  • unicode_escape

๐Ÿ“ก API Calls Detected

  • pageview

๐Ÿ“Š 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

๐Ÿ”ฌ 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)

โš ๏ธ Indicators of Compromise

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

๐Ÿข Brand Impersonation Analysis

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

โš”๏ธ 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.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

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

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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