Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1192295E05228021B47336B84FEC5F9996A93B38AD1059AB8F1FF11AE66D4DF0CC61536 |
|
CONTENT
ssdeep
|
192:UcX1i6bAi0XJSLr+eQlxvktX0jSPMe9L4oGC:Uy1iU0XJSLr+eQlxvktX0jSPM2c+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d272789cd669999 |
|
VISUAL
aHash
|
0703181818180098 |
|
VISUAL
dHash
|
86e67170b2324c30 |
|
VISUAL
wHash
|
7f3f3c18183838f8 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
feffb7968e9ffffe,86e67170b2324c30 |
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 63 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.