Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147720B7AB22C22708A0343F7EFA222F9B31355BDD6159798C369C20873559FD8662DC6 |
|
CONTENT
ssdeep
|
384:Q/ouB1/Hs3BMzGakJR8HlJsmMpBZ7eg/B:coGVKeym4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d2a55aa952ad5aa |
|
VISUAL
aHash
|
1f01011f3f3f011e |
|
VISUAL
dHash
|
b57543b37430276e |
|
VISUAL
wHash
|
1f00370fff1f011e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
b57543b37430276e |
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 487 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.