Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8624B69B11C32B04E0343E6EA6127FEF30380BDEA524794D769C11872956EDC977ECA |
|
CONTENT
ssdeep
|
192:QoFoB6CJ54t9UaLMWN2ZSaH7GJR+PJGywbku9cuGRmKbMpBXp7sfgg8gk:QaoChLMWATi+8yXsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a52cd8f875c2d632 |
|
VISUAL
aHash
|
f703030303ffffff |
|
VISUAL
dHash
|
167666662e56894e |
|
VISUAL
wHash
|
0303030303e7ffff |
|
VISUAL
colorHash
|
0ee00000000 |
|
VISUAL
cropResistant
|
167666662e56894e,636ac6d6e4bc99f9,8e4e8a39598a0e8e,88bc3bf135169636 |
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 485 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.