Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA44329052ACDCE7816720C16161AB1E61A7B36CED9501C40BEC726D13BFC78FD267AB |
|
CONTENT
ssdeep
|
1536:Pe+CpBQayE8x6Dt59Z3HvyPnsQvoLLLLpLLLLZLLLLgXUEExUi2lCDO0jT+aGlpj:PfoLLLLpLLLLZLLLL0ErT+/z68v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8614acd5a8dd2a5 |
|
VISUAL
aHash
|
99c1e7cfefd73b9c |
|
VISUAL
dHash
|
330f8cba1e957231 |
|
VISUAL
wHash
|
18c1e7c7c7c71b0c |
|
VISUAL
colorHash
|
07007008000 |
|
VISUAL
cropResistant
|
330f8cba1e957231 |
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 401 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.