Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BE238B49230D335B1824BE8DA6428687A5FE1DDD7C694B4F398AF11B0D6CECD9250CB |
|
CONTENT
ssdeep
|
384:Y7fUteguCPEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3Ask/YRW2Md:Y7fUteguUphhPhleMeDGCSPxeeWmHmEW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4c4e3c34be04fe3 |
|
VISUAL
aHash
|
f0f0f07070707000 |
|
VISUAL
dHash
|
c4a4a6a4c1a4a4e5 |
|
VISUAL
wHash
|
f0f6f0f070707670 |
|
VISUAL
colorHash
|
30006200008 |
|
VISUAL
cropResistant
|
f0e4e4c4d3bbdece,a93c3474e6d69736,f8ccead2d8d65ee8,c4a4a6a4c1a4a4e5 |
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 209 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.