Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C043B743212A63B30B753D674AAA70FB1B2D31ED9178850A3ACD09727CADC2D467ED4 |
|
CONTENT
ssdeep
|
1536:lK2Mx4BsgAME3Tk/+21zYX1ddZkqqk20fXNZSDEjrTOY3FNqI2m2K2Q+kr3v8Iny:lK2MHlnGdQOSsJdE33MII |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc65379e4cd2c866 |
|
VISUAL
aHash
|
00007878181c0400 |
|
VISUAL
dHash
|
d444b2b2b0b0cccc |
|
VISUAL
wHash
|
060278787e7e667c |
|
VISUAL
colorHash
|
381c0002000 |
|
VISUAL
cropResistant
|
d444b2b2b0b0cccc |
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 363 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.