Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EE131B0B008713B469383E5736263BB73F08156DA86066553FD87B84FE7E42F92658B |
|
CONTENT
ssdeep
|
96:TtgSt+TSZSZSl89nn1yEPYxX4xWytrtNs1YbTSqlmTagFngZMwO4:hH+eIIl81n1ynexWytrtrTS+mTBFg7O4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1ef3e9211993ce4 |
|
VISUAL
aHash
|
fff3f0f8f8f0e000 |
|
VISUAL
dHash
|
17c346d2c0a08080 |
|
VISUAL
wHash
|
fff3f0f8f060e000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
24247e5a3a5c5608,8080c0b69280a284,17c346d2c0a08080 |
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 518 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.