Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6B35390B26105BB19B799D5B664FF5AE5A6F307C21BDA0873BC80432FCBC71AD116B0 |
|
CONTENT
ssdeep
|
1536:PfZB+ZBDqKNqctBlcfecPCcJvcaIcrscOCOwK7kKN3c/M/MZMPoM5MHMQeF:PxBwBDLhZwK7kKN7SeF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0552f7da817e0e5 |
|
VISUAL
aHash
|
0300666e4e4000f9 |
|
VISUAL
dHash
|
6300cc9c9c841193 |
|
VISUAL
wHash
|
0300efeeee6400ff |
|
VISUAL
colorHash
|
38200030000 |
|
VISUAL
cropResistant
|
a2926c1b136482a2,6300cc9c9c841193 |
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 108 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.