Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123F2737D11400A7EAE77C6FAA165B328F0A6A398C676996EE7FD0171D381CC0D8770E4 |
|
CONTENT
ssdeep
|
768:w77K6hVp8wMw/lrXLFzGfi5WYs/o2s/o2s/oSpE2gMKH+u8gmge:atBLNGfioL++n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3229d8cc78edd88 |
|
VISUAL
aHash
|
ff42c3a5e7c7dffe |
|
VISUAL
dHash
|
619c1c4d4c8c1168 |
|
VISUAL
wHash
|
ff000000e7c3dffe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
619c1c4d4c8c1168 |
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 12 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.