Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FE34430D210FC77019361D0267A5B5AB5E08304CB638749B6F88B99AFFEC95ED36678 |
|
CONTENT
ssdeep
|
3072:u+jEFheWP/YgUdoiZfm4fJ3hDhzVMI8fcU72:dPp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc0c3f19f8414fdc |
|
VISUAL
aHash
|
181f73f0580066e7 |
|
VISUAL
dHash
|
3234e5a5b1628a0d |
|
VISUAL
wHash
|
981f7774591026e7 |
|
VISUAL
colorHash
|
31402000040 |
|
VISUAL
cropResistant
|
3234e5a5b1628a0d |
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 69 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.