Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161E229B4A230D335B1C24BE8DA642528765FE1DCD7C695B4F388AF51B0D6CE8D9260CB |
|
CONTENT
ssdeep
|
384:Y7fUWegu1eT75RhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsmcRW8Md:Y7fUWegughhPhleMeDGCSPxeeWmHtW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c43337bc4ac72939 |
|
VISUAL
aHash
|
80466070f0de7e20 |
|
VISUAL
dHash
|
7c9ccae1a3a4ecc1 |
|
VISUAL
wHash
|
80466e70f8de7f60 |
|
VISUAL
colorHash
|
30001000038 |
|
VISUAL
cropResistant
|
7c9ccae1a3a4ecc1 |
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 215 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.