Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E242547063602A3E70278FE4F2A4F77A50AFD34ED94B6118D2FC02A66BC6C45EC72654 |
|
CONTENT
ssdeep
|
96:T/vkErjzKjxfnnxXeLSUOOcTLHW+/6KLHW+/LKbqAdKfKGzBLgQ1kkicIkkc/PmZ:DkCaZn/usV7ITElKzNpe19yh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4191b64649bdb66 |
|
VISUAL
aHash
|
00cffff7f3f7ffe3 |
|
VISUAL
dHash
|
b0bc686426244a46 |
|
VISUAL
wHash
|
00065e7212123e22 |
|
VISUAL
colorHash
|
07001000038 |
|
VISUAL
cropResistant
|
0000202222240020,bc28306626304e4e,00100c32b2320c10,1d0e2426c5878207 |
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 12 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.