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Visual Capture

Screenshot of en-livelgr-en-learn.framer.ai

Detection Info

https://en-livelgr-en-learn.framer.ai/start
Detected Brand
Ledger
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
d8dda341-903โ€ฆ
Analyzed
2026-04-08 17:28

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1A1D2E1137788ED110FA724BFF6667AD62904505EB334C98652EA5D4F76CCCE89210F9C
CONTENT ssdeep
384:nfSjseRWjEzQUEPJpuH4yymYVvfMmUFCoH:nqjseRWjEzQUEPxfmYVvfBUss

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
a424d3f324ccdb33
VISUAL aHash
0303030303ffffff
VISUAL dHash
c68eb6b68e3f373e
VISUAL wHash
0303030303e7ffff
VISUAL colorHash
17000e00000
VISUAL cropResistant
c68eb6b68e3f373e,1fdede8e64c6d0e0,63a8828e8c88a880

Code Analysis

Risk Score 88/100
Threat Level ALTO
โš ๏ธ Phishing Confirmed
๐ŸŽฃ Credential Harvester ๐ŸŽฃ OTP Stealer ๐ŸŽฃ Banking ๐ŸŽฃ Personal Info

๐Ÿ”’ Obfuscation Detected

  • fromCharCode
  • base64_strings

๐Ÿ“Š Risk Score Breakdown

Total Risk Score
100/100

Contributing Factors

Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Banking, Personal Info
Code Obfuscation
JavaScript code obfuscated using 10 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Ledger users
Attack Method
obfuscated JavaScript
Exfiltration Channel
Form submission (backend endpoint not detected - likely JavaScript-based)
Risk Assessment
CRITICAL - 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, Personal Info
  • 10 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

Impersonated Brand
Ledger
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
en-livelgr-en-learn.framer.ai
Registered
Unknown
Registrar
Unknown
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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