Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18834733161419A7B9183C2D1A735AB9EB3C39346CB530E85B7F1839E9FC6C64DC1A2E4 |
|
CONTENT
ssdeep
|
1536:gGADY9ZQ2yNa7s2VTa8IlVu+LJxvYaxlO9Oi8XeTs4W3:go9ZQhNa7s2+vLJxQax40 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31e6b443b5cae70 |
|
VISUAL
aHash
|
00707f3f77707061 |
|
VISUAL
dHash
|
c7c6c67ac6c5c6cb |
|
VISUAL
wHash
|
0070ff3f77707061 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
8a805a58aa2a80a2,c7c6c67ac6c5c6cb |
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 1050 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.