Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D231070B073642B95478DE970BD972AE5FB82CBEC46D0D293FEA3994AD1CD0DE00859 |
|
CONTENT
ssdeep
|
768:bmADkFScSC3xDQ8TsgPyKaHszk1IkCVCplaZ3Jr0ZWS7iEvbCEgkMz6BQN0asElx:tkFShC3xDQ8TsgPyKaHszk1IkCVCplaF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cb933cc9999cc33 |
|
VISUAL
aHash
|
1b01181818181810 |
|
VISUAL
dHash
|
1333333232342834 |
|
VISUAL
wHash
|
1b1b9b999c981e1e |
|
VISUAL
colorHash
|
38000003c00 |
|
VISUAL
cropResistant
|
1333333232342834 |
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 146 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.