Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6622D7DF21421A18B4347D6FA3222E6F113507DABB2569CD769824873A9EFD88319C1 |
|
CONTENT
ssdeep
|
384:QYoCrDQLBUR8WJKxxpGk0ubIsmMpBZ7eg/B:5oiDQdURQxbLm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd28d72ad582d582 |
|
VISUAL
aHash
|
c38181818181ffff |
|
VISUAL
dHash
|
332b33232b2b134c |
|
VISUAL
wHash
|
c38181c38181ffff |
|
VISUAL
colorHash
|
1e206000040 |
|
VISUAL
cropResistant
|
332b33232b2b134c,b2e8f0320f869694 |
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 490 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.