Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E60395329065A937029BE1C4E6716B1D7393C3CEC7121BC516F8836E9BCAEE5DC63294 |
|
CONTENT
ssdeep
|
384:KGB3coRIWPdZ7oRB7oRDd2X97oR57oRpR37oRZ7oRw7oRlD57oRw7oRG7oRSj4XU:KZWPnd2XD/j4Ld8JWRnaLUXY9cU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
882289228963ffff |
|
VISUAL
aHash
|
8100000000001818 |
|
VISUAL
dHash
|
05800010100c32b2 |
|
VISUAL
wHash
|
e17030381c0c1818 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
05800010100c32b2 |
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 112368 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.