Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C304667062B1297A733B89E172E1236A20EDFB09D8D3C58693BC527757CACD07B63950 |
|
CONTENT
ssdeep
|
1536:u+F3njyD4y+0Udmly0ixH3QAlGjz8OFnh3RJZRXQ:RBjCcA7jdF1RJHQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80c07f7f7f00807f |
|
VISUAL
aHash
|
00ffffff000000ff |
|
VISUAL
dHash
|
2088acac11000188 |
|
VISUAL
wHash
|
00ffffff000000ff |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
2088acac11000188 |
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 107 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.