Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D323753827483D6DA517CAE4F6A8BB2D616D82FCE727911CB1BC14B627C3C54D93B284 |
|
CONTENT
ssdeep
|
1536:dDyPUL4uACLJ+fvBWIrSccccLrccccObOcccckyzwENdpD3Oo/:gc0BjU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9db524ad9787ac24 |
|
VISUAL
aHash
|
02083c3c3c180000 |
|
VISUAL
dHash
|
96f1f069f0f0e870 |
|
VISUAL
wHash
|
423c3c3e3e3c3c3c |
|
VISUAL
colorHash
|
38010000e00 |
|
VISUAL
cropResistant
|
0004e76b4b5ba042,96f1f069f0f0e870 |
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 398451 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.