Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E474B530E210311E5763D38B71E2CB8ED233A588DB23A66CEF94911F67D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:j3KZr01ZgAqT1TaGzSCqgzECIAmkCMA3LCuK6fC8PasC95tUCL3ROCMEFoCr9WW+:bmfw+Kg4F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0771070f280dfdf |
|
VISUAL
aHash
|
4603be63e7df79fd |
|
VISUAL
dHash
|
8c5664874ca2b1c9 |
|
VISUAL
wHash
|
0483b645a6ca79fd |
|
VISUAL
colorHash
|
07001000202 |
|
VISUAL
cropResistant
|
8c5664874ca2b1c9 |
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 404 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.