Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19492AA35A60001AB03B799C1E6607F1FB6C7F30FC2168556ABBD919A2FC3DB6B661071 |
|
CONTENT
ssdeep
|
384:gEWZKrdQR9oJ/9IOjQv/CQXvtFvXWptFw1l3sMHtBREMXZF7CZV101klE+GGTBWe:gEWZKrdQR9oJ/9IOuIrMHthk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666663199cccccc |
|
VISUAL
aHash
|
c3e7e7e7e7efe7e7 |
|
VISUAL
dHash
|
0e4d040c0c0c040c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07408000201 |
|
VISUAL
cropResistant
|
0e4d040c0c0c040c |
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 24 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.