Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0E35C703105767F56B34BF67096671AF1BE832FC90F8860B3A8C59623D9CDA8523B94 |
|
CONTENT
ssdeep
|
3072:i+YVA+ETBfgnBfgi3RXspMug98nKd0+w1:iB8hO8nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84e12f8ea36eaab1 |
|
VISUAL
aHash
|
816e7c7e7e3e1010 |
|
VISUAL
dHash
|
2798d8a4fce46468 |
|
VISUAL
wHash
|
816e7c7e7e3e1012 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
2798d8a4fce46468 |
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 87 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.