Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176156BD473D0B2B8465787E8943F381AB3BF20AA74888954F664CDD0AEDE4DC8177E58 |
|
CONTENT
ssdeep
|
6144:u7wKD4Lnr3zoesSlOSn4rd8xpOp2WgNbHUJ4flqExRRhYMKfcPcG5:mx9dmOdJ4flqwGeV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d96e66c9894e68b1 |
|
VISUAL
aHash
|
800400187f582400 |
|
VISUAL
dHash
|
2344d4329ab24444 |
|
VISUAL
wHash
|
f124243e7f7e2424 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
2344d4329ab24444 |
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 276 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.