Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3739DB2220244E350738ED878B6BFD721ADE35FE26E868155BC42B0CED7CB93519764 |
|
CONTENT
ssdeep
|
384:CD5U9OW1WeYpkercZaY1Z3ie4XyDZyNwzAovXPa15a+kB4SA4mDZ3:C3pkercoY1aiDZyNK3BBId |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd08f7462666047f |
|
VISUAL
aHash
|
1018181818ffffff |
|
VISUAL
dHash
|
b2b2323333b27170 |
|
VISUAL
wHash
|
0018181818ffffff |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
b2b2323333b27170 |
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 99 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.