Phishing Analysis
Detailed analysis of captured phishing page
Visual Capture
Detection Info
http://aman-tomaar.github.io/ledger
Detected Brand
Ledger
Country
Unknown
Confidence
100%
HTTP Status
200
Report ID
3c1512e4-5d9…
Analyzed
2026-07-28 10:17
Final URL (after redirects)
https://aman-tomaar.github.io/ledger/
Content Hashes (HTML Similarity)
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A0235A09139EE335243A1E5F3E6AB137199C242C75A270042F8C3FC4BD6D55FA995A2 |
|
CONTENT
ssdeep
|
192:Y8J4N5vCvUMuCdPIpNnqDUU86EayY4ByTaTovguhWhFc3cY3cIVl:Y8ON5avUMuEIpNnqDlnXz4BTTogumc3L |
Visual Hashes (Screenshot Similarity)
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399cc6698993333 |
|
VISUAL
aHash
|
ffffefffe7e7ffe7 |
|
VISUAL
dHash
|
001048304c4c3008 |
|
VISUAL
wHash
|
2aabab3a23e7232a |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
001048304c4c3008 |
Code Analysis
Risk Score
79/100
Threat Level
ALTO
⚠️ Phishing Confirmed
🎣 Credential Harvester
🎣 OTP Stealer
🎣 Personal Info
🔥 Firebase Backend
🔒 Obfuscation Detected
- atob
- fromCharCode
- base64_strings
☁️ Cloud Backend
- Firebase: attn-008.firebaseapp.com
📊 Risk Score Breakdown
Total Risk Score
100/100
Contributing Factors
Active Phishing Kit
Detected kit types: Credential Harvester, OTP Stealer, Personal Info
Credential Harvesting
Credential harvesting detected with 6 form(s) capturing sensitive data
Code Obfuscation
JavaScript code obfuscated using 33 technique(s) to evade detection
🔬 Comprehensive Threat Analysis
Threat Type
Two-Factor Authentication Stealer
Target
Ledger users
Attack Method
credential harvesting forms + obfuscated JavaScript
Exfiltration Channel
Firebase Database
Risk Assessment
HIGH - Automated credential harvesting with Firebase Database
⚠️ Indicators of Compromise
- Kit types: Credential Harvester, OTP Stealer, Personal Info
- 33 obfuscation techniques
🏢 Brand Impersonation Analysis
Impersonated Brand
Ledger
Official Website
N/A
Fake Service
Credential harvesting 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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Target Blockchain
Multiple blockchains
Whitelist Bypass
YES
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
🌐 Infrastructure Indicators of Compromise
Domain Information
Domain
aman-tomaar.github.io
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.