Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183C42BB0A0102C7B01DBC3D4F6B46707B3A4D349E60A45925FE8DF982FDAE60EE1A55D |
|
CONTENT
ssdeep
|
6144:/LCeMwh2vcpJdyjyjVQ/pqDw5Gu9r1ZU04yz9iKK:/LCeMwh2vcPdyjyjVQ/pqDGL1nsT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dab48376c93dd803 |
|
VISUAL
aHash
|
ffffdfd880800038 |
|
VISUAL
dHash
|
6d353131292949d1 |
|
VISUAL
wHash
|
ffffdf9880800078 |
|
VISUAL
colorHash
|
0e000000003 |
|
VISUAL
cropResistant
|
6d353131292949d1,8e9e9692969263ee,7171514f05717161 |
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 746 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.