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Visual Capture

Screenshot of learn-us-bridge.framer.ai

Detection Info

https://learn-us-bridge.framer.ai/
Detected Brand
Trezor
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
15edfef3-1a7โ€ฆ
Analyzed
2026-05-28 13:39

Content Hashes (HTML Similarity)

Used to detect similar phishing pages based on HTML content

Algorithm Hash Value
CONTENT TLSH
T1C0B20F23B084912A4E9790FDFA5CB6A5A55C9149FB70C043A9F8C27FEF02CAC792570D
CONTENT ssdeep
384:JM+IopBJzyvP9AqKLXg4/rOfnTGh1xY1F7gOnWHSxyDHeLGF0qGif2RPUyTzGGIg:JM+I0BNyOqKLX3OfTGh1a1F7gOeS0eLL

Visual Hashes (Screenshot Similarity)

Used to detect visually similar phishing pages based on screenshots

Algorithm Hash Value
VISUAL pHash
b8696c6a79337928
VISUAL aHash
c1c3cfcfcfcfc7cf
VISUAL dHash
13031b1b1b1c0c1e
VISUAL wHash
c1c1c3c7c3c7c7c2
VISUAL colorHash
07000030040
VISUAL cropResistant
13031b1b1b1c0c1e

Code Analysis

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

๐Ÿ”’ Obfuscation Detected

  • atob
  • fromCharCode
  • base64_strings

๐Ÿ“ก API Calls Detected

  • https://www.google.com/ccm/geo

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 24 technique(s) to evade detection

๐Ÿ”ฌ Comprehensive Threat Analysis

Threat Type
Banking Credential Harvester
Target
Trezor 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
  • 24 obfuscation techniques

๐Ÿข Brand Impersonation Analysis

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

๐ŸŒ Infrastructure Indicators of Compromise

Domain Information

Domain
learn-us-bridge.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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