Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AD307E6D720A1B9965B9BCDF7319FCD318B616FCE52C864D2FD8B8456CADD088008C9 |
|
CONTENT
ssdeep
|
1536:fHp+Ln5HnVRcZExR2pSpXuueShYK1v5QHQbQbQbQbQbPmfPmfPmJo4Fui:6fCAqw00000o4F9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
94946b6b9b56646c |
|
VISUAL
aHash
|
0f3ff6be17000000 |
|
VISUAL
dHash
|
7aeea4ac2ed0715b |
|
VISUAL
wHash
|
3e3ff6fe1f000089 |
|
VISUAL
colorHash
|
31600010000 |
|
VISUAL
cropResistant
|
ec55d439b9d07074,3cbc627272ce8c1e,7aeea4ac2ed0715b |
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 6313 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.