Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D35CB43310763E057343FAB0DF77166279530AD61A8D20B3A8E5AA63D9C99F463BC4 |
|
CONTENT
ssdeep
|
1536:lnT5YbmT5ysdzs7U61LCM61LCw4zbQbmfb5JuJMY+i1euLlUuRNka2wblHbJLwLW:lpLeGrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c12f3f3b9de2c0 |
|
VISUAL
aHash
|
0074fece40006461 |
|
VISUAL
dHash
|
338888989844c489 |
|
VISUAL
wHash
|
007efeee4404fe61 |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
338888989844c489 |
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 143 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.