Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F835532230C2E2C694387A8F3617769526D96C4FB1BF4E8A56C117127DAF58E837DE0 |
|
CONTENT
ssdeep
|
1536:etNE/KH65HvnQeh7EEEEAEEEEYoEEEECePj6w8a4Ra:z/fT0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e99867473746631 |
|
VISUAL
aHash
|
043c18181818003c |
|
VISUAL
dHash
|
dc79603232b03361 |
|
VISUAL
wHash
|
6e3c3c3c3c38193d |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
b2a292828aa8a2a2,4295f4e201c40401,dc79603232b03361 |
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 120 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.