Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0A429587240751742E720F1503F470AB376965AD90A886CB2F8DADA7EACC5C913BFBC |
|
CONTENT
ssdeep
|
6144:0Sy0o8XJyHBK2ItHBKqIARBvTiq87MU0q9STmjyl5M/GE+TsGavWNYeePi90:0oy+j87MC6NYe+i90 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b947bcc350ee5219 |
|
VISUAL
aHash
|
ff0300000008ffdf |
|
VISUAL
dHash
|
061f7155d0d81e38 |
|
VISUAL
wHash
|
ff830000086cffff |
|
VISUAL
colorHash
|
0e206200000 |
|
VISUAL
cropResistant
|
d421002727d02717,c8001e1e1e3a3818,000414d4d4140b04,177c5139d4d0d8c8,86c6696af4dcdc72 |
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 75 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.