Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBE229B49230D335B1C24BE8DA6425287A5FE1DCD7C695B0F388AF51B0D6CE9D9260CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguTT/RhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsxAiRWKMd:Y7fUWeguxhhPhleMeDGCSPxeeWmHJbW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6073f3c68384a6f |
|
VISUAL
aHash
|
00267070f0f6d600 |
|
VISUAL
dHash
|
2ccccac3a3a4acc1 |
|
VISUAL
wHash
|
807676f0f8f6de00 |
|
VISUAL
colorHash
|
380000d0000 |
|
VISUAL
cropResistant
|
f0f09c0fb3dcdcc4,2ccccac3a3a4acc1 |
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.