Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECA30F38B1067C16647795C0F0A46F997282EB3AC3848E58E3F527662FCBDF46865378 |
|
CONTENT
ssdeep
|
1536:LFZQc6MZhK7fKjk5BIDtgj+FMBb75IYuEXL05umHUC9MnIy2m7Aqlh8oIQPjxkiH:SMPMCwndmM2I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e633336688dc89dc |
|
VISUAL
aHash
|
e7e7fff7f7f7f7f7 |
|
VISUAL
dHash
|
4d4d0c040505040c |
|
VISUAL
wHash
|
2727272727272627 |
|
VISUAL
colorHash
|
07400048000 |
|
VISUAL
cropResistant
|
4d4d0c040505040c,324ba94ad9698867 |
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 524 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.