Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1035363B1C65A717B02278ED5B0716B0FB2D3831DDE63891057FC8B9D5FEAC90EA0548A |
|
CONTENT
ssdeep
|
1536:0oAGwLOm6cwIKEJGvVPO3hBkAp+b1hmkbl:0dfu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb639c8ec41e36b0 |
|
VISUAL
aHash
|
f78181c1ff8f8fff |
|
VISUAL
dHash
|
6d0b1b0b6b3b3813 |
|
VISUAL
wHash
|
f7818181878f8f8f |
|
VISUAL
colorHash
|
07e01000000 |
|
VISUAL
cropResistant
|
6d0b1b0b6b3b3813 |
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 48 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.