Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155E264B1C18024EB21238FE1E5656B6B32C7923DDA33CD1057BC4F5EEBDADC09649886 |
|
CONTENT
ssdeep
|
384:uAaV1tBzQp37lGtim1pk7r2PPaL6/X8oJ7px1AR4stWoQmbTDIifOE:N7lAiX7U3/x3AR1UoQmvjf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed966c2996689665 |
|
VISUAL
aHash
|
ffffffffff81c1c1 |
|
VISUAL
dHash
|
6b1200206b131737 |
|
VISUAL
wHash
|
81ebdbbdbd818181 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
6b1200206b131737 |
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 43 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.