Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB123DF8D24216AF4FABBF9DA012FE0591A3C168E56B457833DC596A0AC1FB0C5D0B24 |
|
CONTENT
ssdeep
|
96:TpVd3ykhzzP51KTNKQexKlhQoKkgQq5f2zetPovrtFf36ttmbTtEXxJeDZ2dr7xm:lnB1KgTxK3fKBpeikrut4T8qa7SX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9663663e692e3946 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
0b48a848d0302420 |
|
VISUAL
wHash
|
003e7e3e7e3e3e00 |
|
VISUAL
colorHash
|
070000082c0 |
|
VISUAL
cropResistant
|
0ce8a848e0302424,0000000303010000 |
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 25 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.