Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE030C1173602062B17385D8EC387E986193F30B92564BD4ABAC66D25ED7CB8B231FF5 |
|
CONTENT
ssdeep
|
768:vnnIrHWxAbWgBed47Y6mbmYWevybO8JAMNhOpb:/IrHWmbWgBedgY6mSYWe6bOxBb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddb4663dcd340519 |
|
VISUAL
aHash
|
02fefebe18000030 |
|
VISUAL
dHash
|
b20c3032323233e1 |
|
VISUAL
wHash
|
4afffefe98000071 |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
b20c3032323233e1 |
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 319 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.