Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3A161B98580193AD3131DCB7CF6264E72C78A2AC6007C84F77882D78AD9ED46607B5B |
|
CONTENT
ssdeep
|
96:wMVkM2JO4Klc0aKOtYnyToK2lP2mdJxYGwYbTyTIrdyd0YTR7rK+KqcE:wMVkM284Klc0JOSez2VDbSIqN7r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dbce24318bc69b98 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
2806696979790608 |
|
VISUAL
wHash
|
3c3c3c3c3c3c0000 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
2806696979790608 |
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.