Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1483419B8620119BF653747E1B0B5A75EA1BEC34EDD0B8D18F3BC82A667C9C4598336D0 |
|
CONTENT
ssdeep
|
3072:XinJ9QFlP2qhFs2qBtxtw+E8mzLWymrX2wd9W/guGO4:XyJ9QFlp8xr+ouGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c346c8dc33c9b |
|
VISUAL
aHash
|
02806c7c78707e0e |
|
VISUAL
dHash
|
8616d8c8ebe7c8d8 |
|
VISUAL
wHash
|
0282cefefc707e0c |
|
VISUAL
colorHash
|
30010000c00 |
|
VISUAL
cropResistant
|
00001006060c0000,0000044c4c0c0000,8616d8c8ebe7c8d8 |
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 388 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.