Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F792A8393648497D67230F81F6D5FB28A1AAB347C61AD86CE1BE01F553C1ED48CBA634 |
|
CONTENT
ssdeep
|
192:CrvmG+/e8me62mVh2me2mdihopIRUEwPFVoWeR8g7zRHVgg8U6YoGY1hoX/:Cr2/lqUOSPi88L+U7CU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f32ac88bce687962 |
|
VISUAL
aHash
|
9967c3f7e7e7c3fe |
|
VISUAL
dHash
|
33cc8e864c4c9606 |
|
VISUAL
wHash
|
0127c3e7e7e7c2c0 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
33cc8e864c4c9606 |
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 140 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.