Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCD1B7B141940E3E76174BE4F2F0777E2153A23EEA6A1444E2741BB4A3D8F78983AD50 |
|
CONTENT
ssdeep
|
96:T0J0lAUkYrVv+vcy/2SBBFMOm7kCkRWj7h88bFAF0lFf9STSTm+gqb:5AM2vcJSBwkCuW88bKF0lFke5j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4ccffd31b098334 |
|
VISUAL
aHash
|
ffd7170707070707 |
|
VISUAL
dHash
|
2f27b4b5ddccdd4c |
|
VISUAL
wHash
|
ff97170707070707 |
|
VISUAL
colorHash
|
07602000040 |
|
VISUAL
cropResistant
|
2f27b4b5ddccdd4c,bce03ddffdffffdf,8c8cecce76627632 |
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 40 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.