Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D737732230C2E2C694387A8F3657769526D96C4FB2BF4E8E16C017157DAF58E827DE0 |
|
CONTENT
ssdeep
|
768:+mdqYGW2dEI2hNO78/KsypGSbdC9hsJ35UkwkEdpEjlQtMndvaF3mEEEEqDaMEEg:vz2yI5IKEEEEqEEEE9EEEEXasQG/c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b99867573646631 |
|
VISUAL
aHash
|
043c18181818003c |
|
VISUAL
dHash
|
dc79603232b03369 |
|
VISUAL
wHash
|
6e3c3c3c3c1c193d |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
a2b2ae8b8ab48aa2,0080b4eaa001c8c8,5d59adbcb8b8aa20,dc79603232b03369 |
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 120 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.