Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4A2D768250058AB39A78DC0E3603F1D31B5E36B90AE875097ACB5978FC7DF8F991463 |
|
CONTENT
ssdeep
|
96:6r8E1DxNgudRFYawOt/2WCtjvfqYqvsiCm/i7zll0GO7190PmrAgYbT4Y9eO0XTu:6XVRX8+QztI1wmr3Y1NUeHxcQ7lf0G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c999666666663939 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
30b2323030303030 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
30b2323030303030 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.