Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15853DCB8431D9EE5D556834CFA1BB761F52780C4DB6E43B401064E2AFE0C9AE75BB2E0 |
|
CONTENT
ssdeep
|
768:CIgAFPr26549jx1j04tj3OZe9YknT6IEBn2SR+ETW1GTW1V:C/ARr5G39YknsnYOWiWX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d725e9d32ac8bc2 |
|
VISUAL
aHash
|
000071637ffbfb00 |
|
VISUAL
dHash
|
b488c3d6d6f2f3f0 |
|
VISUAL
wHash
|
00007973fffbfb00 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
b488c3d6d6f2f3f0 |
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 748 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.