Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D34419909210FD2F231745ACF9A9F6D9650F6258EB7FEB4673EC19B223E6C6485032C4 |
|
CONTENT
ssdeep
|
6144:w1br/a0gaqb/bYkn/WsFjGxdcFgJ3gxDC75NxQke:ocSJQxDCrc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd9dc29c3cc3c21c |
|
VISUAL
aHash
|
ff8b9b8b8bcfe7e7 |
|
VISUAL
dHash
|
4c3b3332333f4b0f |
|
VISUAL
wHash
|
ff8b9b8389c38381 |
|
VISUAL
colorHash
|
07000c00200 |
|
VISUAL
cropResistant
|
4c3b3332333f4b0f |
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 263 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.