Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4E229B4A230D335B1C247E8DA6425687A5FE1DCD3C695B4E388AF15B0D6CE8D9260CF |
|
CONTENT
ssdeep
|
384:Y7kUteguITzRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsIkRWGM9:Y7kUteguuhhPhleMeDGCSPxeeWmH9I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93e3e6b76a1c4c0c |
|
VISUAL
aHash
|
846e0f08080f0f00 |
|
VISUAL
dHash
|
5cdc3a5b1b181c11 |
|
VISUAL
wHash
|
e26f0f0f0f0f0f06 |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
0010323232300800,5cdc3a5b1b181c11 |
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 72 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.