Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E903FF30A801DD2741CB99D9A636162A22FA8345C61316CDFAF5C3F95BEFC2CCA77164 |
|
CONTENT
ssdeep
|
768:CjsIx/jExDIRFrScWoDlE71rSSt5iyUf7Cd4ypG2w:CjsIxIxDIRFrScWC671rSStE79yLw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe64631366e41a99 |
|
VISUAL
aHash
|
e0809f939f0ffff0 |
|
VISUAL
dHash
|
cc2c352777790a29 |
|
VISUAL
wHash
|
e0809393930ffff0 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
cc2c352777790a29,8866098929495648 |
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 47 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.