Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D5124BD0004249B8537CE972D257645B1B6336EDF762809E9FCA3AC2BF5D968CC4439 |
|
CONTENT
ssdeep
|
96:T0JYNTGhNzLzCuyCfVjGrIBPgp7gYbikr:hGr1f6qGmkr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3734c4c5c595958 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
90080c0c0c000000 |
|
VISUAL
wHash
|
00272727243c0c0c |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
0c0c1c0c0c000000,0080408090400000 |
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 28 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.