Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104E228B492309335B1824BE8DA6428687A5FE1DDD7C694B4F388AF51B0D6CECD9250CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguAjEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsTweRW4Md:Y7fUWeguWphhPhleMeDGCSPxeeWmHxW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3389f3e5a3949c1 |
|
VISUAL
aHash
|
8066606060606668 |
|
VISUAL
dHash
|
24cccadbcbc84c41 |
|
VISUAL
wHash
|
f07676606064fee8 |
|
VISUAL
colorHash
|
38001240042 |
|
VISUAL
cropResistant
|
defcb87ab9cace8f,b2d3e0b13974686a,24cccadbcbc84c41 |
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 71 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.