Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDE2427260C22E338463C5CAE2745B5A33E64A0DDFF219546BFF5BDACBCAD56EA10005 |
|
CONTENT
ssdeep
|
768:2pdECwaE5YU7GSdFjf3uoevIeXukQdCgmA3f3uoevIeXukQdCgmAistMovkry+6l:DSU/f3uoevIeXukQdCgmA3f3uoevIeX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3659e3c3c347598 |
|
VISUAL
aHash
|
027968600c303c3e |
|
VISUAL
dHash
|
94cacac8d8c4ecf8 |
|
VISUAL
wHash
|
62fb68603c743c3e |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
ffffffffffffffff,94cacac8d8c4ecf8 |
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 189681 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.