Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8135430A101A53701A7A2D4A6309B9BB3D1D340DF370B0A27F8875EBFDBD55CDA52A9 |
|
CONTENT
ssdeep
|
768:OavWvBOwH8DLpJYU9nJgpVjfebMz3UIzR:OavUBOwH8DLpJYU9nkgbMQIV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95e4fab8e5906f10 |
|
VISUAL
aHash
|
ffff306202001e80 |
|
VISUAL
dHash
|
962cc4c6d626fc1d |
|
VISUAL
wHash
|
ffff766262001e80 |
|
VISUAL
colorHash
|
30000200030 |
|
VISUAL
cropResistant
|
000000a0a0800000,ce8fadada78f8fad,8200b02f27360082,2022a1b6a6892220,1cc4c6d6ce30fc0b |
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 30 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.