Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15793957432D42D6D90678FFCF390B36A22AD8399E69BD598A3FC816053C6C41AD277C4 |
|
CONTENT
ssdeep
|
1536:4xxP3NwUUUUjUUUURUUUUyUUUUrUUUU6UUUUmkgc0:4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd19f122f70adc0b |
|
VISUAL
aHash
|
40001818001000ff |
|
VISUAL
dHash
|
9af27171e2e2e3e0 |
|
VISUAL
wHash
|
ff083c3c3c1030ff |
|
VISUAL
colorHash
|
110030000c0 |
|
VISUAL
cropResistant
|
44c599134c46ad69,e00000000102120a,9adaf37069e0e6e0 |
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 12 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.