Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC13FDB03E480D7F86834BD2CBD53F9562B890E7E15A06F4F2A4495D0EE6C6CC5DE2A4 |
|
CONTENT
ssdeep
|
768:dFEfF4jvxyQcfiVVNqmdpvcfch1S1COyj:dOfF4jVcfcfOyj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c532ce1e32ce3a36 |
|
VISUAL
aHash
|
0460007e60387878 |
|
VISUAL
dHash
|
6cc6c4c4d4f3f0f0 |
|
VISUAL
wHash
|
0470307e7e787c7c |
|
VISUAL
colorHash
|
02000e00000 |
|
VISUAL
cropResistant
|
ffd0929292929292,6cc6c4c4d4f3f0f0 |
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 77412 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.