Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFE229B49230D335B1C24BE8EA642528765FE1DCD7C695B4F388AF51B0D6CE8D9260CB |
|
CONTENT
ssdeep
|
384:Y7fUWegum+XTORhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsimRWsMd:Y7fUWegum+UhhPhleMeDGCSPxeeWmHXW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6333cfc681e39c8 |
|
VISUAL
aHash
|
002620f0f0f6f690 |
|
VISUAL
dHash
|
3ccccac3e1a4ac21 |
|
VISUAL
wHash
|
802620f0f8fefef0 |
|
VISUAL
colorHash
|
38207000000 |
|
VISUAL
cropResistant
|
c1c0c6d83838b8e0,938fc2d094b493d3,f2e6e2d313f2f6fc,100c323232320810,3ccccac3e1a4ac21 |
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 74 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.