Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B436A56B241301A40B7D4D4A4A16F1D7F73E72B972A286436B80A87FBCFF61B42D4E1 |
|
CONTENT
ssdeep
|
1536:khiC/luTBWPWSLWovXtRiNLJsdKUBBMuBQww:khYt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94342bcaeb6b949c |
|
VISUAL
aHash
|
00020640ffff0000 |
|
VISUAL
dHash
|
84949494b6b451d0 |
|
VISUAL
wHash
|
00ce1ec2ffff0078 |
|
VISUAL
colorHash
|
380090000c0 |
|
VISUAL
cropResistant
|
c0d9d9d9c8729cc0,8212825a5a220282,8080888883228401,8080c1c1a3c3c121,8282838286040109,84949494b6b451d0 |
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 19 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.