Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E238B49230D335B1824BE8DA6428687A5FE1DDD7C694B4F388AF51B0D6CECD9250CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguqgzEFcRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3Asy8RWkMd:Y7fUWeguq6phhPhleMeDGCSPxeeWmH1W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e18ebb4b396868 |
|
VISUAL
aHash
|
f076406060863631 |
|
VISUAL
dHash
|
47c4aaa3d13c6c67 |
|
VISUAL
wHash
|
f1766070f094bf31 |
|
VISUAL
colorHash
|
3001a000400 |
|
VISUAL
cropResistant
|
100c323232320810,8ce018fcfe2e33f3,47c4aaa3d13c6c67 |
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 73 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.