Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E65113D1E1C5F35E36228DE6E2573B94B58D890BCB912C8461AC41F812E9C6379FF40A |
|
CONTENT
ssdeep
|
24:hS56tCsi04rpGa7N/yN/tmqrZcZONl+9pn6xUce1NvucW/5xQ1FGE0giBK+E+O2R:/n4rnNaN0ScZONQ9p6xQNem2rJArq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5526b8dcc656299 |
|
VISUAL
aHash
|
070707070f070707 |
|
VISUAL
dHash
|
2c2c2c3c3e3e2e2e |
|
VISUAL
wHash
|
8f07071f1f0f0707 |
|
VISUAL
colorHash
|
38000030003 |
|
VISUAL
cropResistant
|
2c2c2c3c3e3e2e2e |
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 1123 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.