Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4220F316081046B127387E4F6A2BE8E61D3F30FC215CE15AAED85941FD7DF8B4196B5 |
|
CONTENT
ssdeep
|
192:6gpRbsbcNIGJjEgq2UpWMMC5UECPY19FC5nZ+f8:NLgcNIGJjEgq2UcMdBhSZl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc23333366339b |
|
VISUAL
aHash
|
1818181818181000 |
|
VISUAL
dHash
|
b2b2b2b2b2322230 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
668d195bf99b5a2c,b2b2b2b2b2322230 |
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 24 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.