Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130A23C356600406B03B799C4F5617F1EB2D7F30FC50A8556ABBC919A2FC3CB6BB29462 |
|
CONTENT
ssdeep
|
192:64VR7R2ZlNZDWFxFIFCFEFZFt2FPMjMNxiDi6sc7ri7SQzp9Gl:zcZDWFxFIFCFEFZFkFPMFfQGl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc333366cc999966 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
4c4cb2b2b2b24c20 |
|
VISUAL
wHash
|
c0c0d8d8dbdbc3c3 |
|
VISUAL
colorHash
|
07030000000 |
|
VISUAL
cropResistant
|
a4a0868ab3b323aa,4c4cb2b2b2b24c20 |
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 26 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.