Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126632B74391DF5671EB3839710CE1502B268522B540D4D60B250FDAEB6BCCEAA4B7FCA |
|
CONTENT
ssdeep
|
768:6axGXSqcozTbu95hzngHW9YHFmAwjKW9ZgY1H1hunNIh3L3Cm4JepuCsi1rRHL:5Bn+jcAwhH1VhENIhOm4Jepnsi1F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fca9a872027321fd |
|
VISUAL
aHash
|
03db5b18c080c098 |
|
VISUAL
dHash
|
8bb3b26932243030 |
|
VISUAL
wHash
|
43ffdbbcd880c098 |
|
VISUAL
colorHash
|
38002208000 |
|
VISUAL
cropResistant
|
fcb6a72b338e8797,8bb3b26932243030 |
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 256 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.