Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC339A207D1160B756BB85C0F1A27F1932E6F34FC56AC5442BBE41E41FEBDB0B42A5A8 |
|
CONTENT
ssdeep
|
1536:AA5fi5h7GkvxKF9IDz3WoaDDzupdOSDgMv22L2umy7PsAJhpXh:AA5fi5h7Gk5KF9IDz3FaDqB1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2b59c928c9b4c67 |
|
VISUAL
aHash
|
ffe3e1e1e0e0e0f1 |
|
VISUAL
dHash
|
d84f4b4b47494965 |
|
VISUAL
wHash
|
ffe1e1e1e0c0e0f0 |
|
VISUAL
colorHash
|
170020000c0 |
|
VISUAL
cropResistant
|
d84f4b4b47494965,f2b4b6e627252424,7f0b4b0f15696909,9c1e0e2535353535 |
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 33 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.