Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1635366F32085A02252C6B3DA5EA4FB1ED1D3918BDC816523ABE64B1D7BC7EF27C42415 |
|
CONTENT
ssdeep
|
384:3MBBBBBjq++fTLmEsL2YMESfYEfYvoqoo9r0c0c0ES+M2rXjZviDRZv/Syroaka3:mQYaYN0c0c0V2Cf8c9sh8XVrbBnQwgA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b14e4e73124f334e |
|
VISUAL
aHash
|
00ffcfc7c7c7ffff |
|
VISUAL
dHash
|
d02f1e9e9f9f1218 |
|
VISUAL
wHash
|
0083c3c3c3c3fbcf |
|
VISUAL
colorHash
|
06402000000 |
|
VISUAL
cropResistant
|
271f9f9f9f9f2218,5070d8d002f0f006,cedce8f9f0f4ac6d |
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 4771 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.