Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD2D931A040AE27029391E477325789E7818342D71747A867F6C3AD7BDDEE0C9736EA |
|
CONTENT
ssdeep
|
384:dVlfT6fFgan39wcn4cW+I78LbxncnhZhL6nLmSLbnZA8TZdrx1:dVlf+t1+O4qIILNIThLmtLFAAZF/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8351d66c3331c6f |
|
VISUAL
aHash
|
0018187c7c3c3c3c |
|
VISUAL
dHash
|
b2d071d0e1f1f0f0 |
|
VISUAL
wHash
|
0218187e7f7c3c7c |
|
VISUAL
colorHash
|
30400050000 |
|
VISUAL
cropResistant
|
7af1e0f4f0f4f4f4,b2d071d0e1f1f0f0 |
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 96 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.