Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5D3D8B1526133F772474BE4E431975AF2C77278EB27CA4843FC5A9AA7DAC84894DC80 |
|
CONTENT
ssdeep
|
3072:PPI8dcF/jvL4tjeUnTRjfuo3mnivdx7EKjGSSH6Xp:IYT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2799e37859334c5 |
|
VISUAL
aHash
|
0c80c0e1e386fefe |
|
VISUAL
dHash
|
7839938bc60cc8e1 |
|
VISUAL
wHash
|
0c80c0e1e3c6fefe |
|
VISUAL
colorHash
|
00000e00040 |
|
VISUAL
cropResistant
|
0021546a2b170000,6852a5ca64385c27,aa82a89696a0a2a4,4fcef2f4dad2f2cc,7839938bc60cc8e1 |
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 315 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.