Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134137735A504513B13339AC9B2B1EF4DF6C3AA4ECE039461E6FD938D4BD5EE18812C5A |
|
CONTENT
ssdeep
|
768:lIN5BS9YIKvxGm+AYQoYQwsq8GoEYXOpP:uN/viQDQWoLUP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8035352e6f7d3c34 |
|
VISUAL
aHash
|
007f4e7e7f7f7e7e |
|
VISUAL
dHash
|
269e9ecacba4a282 |
|
VISUAL
wHash
|
007e4e6e697f007e |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
269e9ecacba4a282 |
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 92 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.