Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F963853123882E2EA567CBE8F2B4B328526DD298E56BD16CE3FC117117C7C05E937694 |
|
CONTENT
ssdeep
|
768:vhhh2skY2Y1YUYxYlzl2ezr/D7bot9zl2ezr/D7botcYJYvo+z1afAGjcAYgY1YP:5mbo+z1afAGR0000I0000E0000j3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cc43337b0bd89cd |
|
VISUAL
aHash
|
42303c7f3f300018 |
|
VISUAL
dHash
|
96e9b2b6e0e8b231 |
|
VISUAL
wHash
|
42387f7f7f3c0018 |
|
VISUAL
colorHash
|
1e006000040 |
|
VISUAL
cropResistant
|
96e9b2b6e0e8b231 |
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 24 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.