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Visual Capture

Screenshot of ldgrliv-us.framer.media

Detection Info

https://ldgrliv-us.framer.media/
Detected Brand
Ledger
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
3ad9226d-3e4โ€ฆ
Analyzed
2026-05-29 13:11

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T19B42D8379201B2290B97430CB7D1A3EEF21BC049F636469566E4413F2AC1FD5C977B8A
CONTENT ssdeep
384:iWfWYWfrmHaJP1hw0GD91hubW0fMmUFCoM3:iWfWYWfrmYw0y91hiW0fBUsJ3

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
bf33c03ac4f0f1c8
VISUAL aHash
8f8f8f8f8f8f8f9f
VISUAL dHash
7878787878787878
VISUAL wHash
0f078f8f0f0f0f0e
VISUAL colorHash
07001000180
VISUAL cropResistant
7878787878787878

Code Analysis

Risk Score 76/100
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
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, 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
ldgrliv-us.framer.media
Registered
Unknown
Registrar
None
Status
Age unknown

Hosting Information

Provider
Unknown
ASN

๐Ÿค– AI-Extracted Threat Intelligence

๐Ÿ˜ฐ
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