Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1417483B0C1152E2F731708957034DBC9E686B788E71FC64633AD53572BEEC924AB1AB4 |
|
CONTENT
ssdeep
|
1536:piVbx+VCJ+W8dXSFlkOdmlnlwTdXSFlkOdmlnlwTdXSFlkOdmlnlw0YIVc0yQYJR:pcJrXQlcJrXQjcJrXQjcJrXQjcJrXQ2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1433e9c31b1c6e7 |
|
VISUAL
aHash
|
0000706cffffff00 |
|
VISUAL
dHash
|
94c8c0d0d0e0f003 |
|
VISUAL
wHash
|
0000707cffffff00 |
|
VISUAL
colorHash
|
10000000190 |
|
VISUAL
cropResistant
|
94c8c0d0d0e0f003 |
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 198 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.