Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FA1447281002CAECBF1B5D0CE87BD44E1FEE0D6D52650C0B4B4645D5ACABB1A0BE9B7 |
|
CONTENT
ssdeep
|
96:RKsuGSqboOWKTaOuURRqtCoQ6o65hJ+Y99kJJJkjmkJ+Y995W:fpq8R6Hf+Y99AJJkjmA+Y995W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399cc4ee6199932 |
|
VISUAL
aHash
|
ffffffc7000000ff |
|
VISUAL
dHash
|
0000104c4c320008 |
|
VISUAL
wHash
|
ffffef80000000ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000104c4c320008 |
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 3891 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.