Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1856213F1C8D0613718170DE9F93723E6F899913C89A74D2092BC7A9B67C2C94DB3694E |
|
CONTENT
ssdeep
|
384:uCp3L2U1Wd02MZ6eV9HDhYjSYjD3Yj1/zUYjGxYjnYjzhUZNsh1k50tK1npLYeQU:uCp3L2UU02MZtV9HDhYjSYjD3Yj9zUYX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98253adaa55ac7a5 |
|
VISUAL
aHash
|
00000001fffdddff |
|
VISUAL
dHash
|
b7b7b7b3a29191d2 |
|
VISUAL
wHash
|
01000003fffdddff |
|
VISUAL
colorHash
|
07032000040 |
|
VISUAL
cropResistant
|
b7b7b7b3a29191d2,b3d1c467d3d16c0c |
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 25 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.