Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B044DF87344A423615387D760B7260B71AE802BD8096EB45760DAD77ED8C6E443BFC9 |
|
CONTENT
ssdeep
|
3072:9vtNtWtMt7totDcNr0csE+ouJjEfzeW6i5mayI6X4y:9lME+ouJj0yi5mayI6X4y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1394e4f47313179 |
|
VISUAL
aHash
|
00ffcfcffffffff7 |
|
VISUAL
dHash
|
92009e9ee58a0e0e |
|
VISUAL
wHash
|
00d7c7e700e7c7c3 |
|
VISUAL
colorHash
|
07200008400 |
|
VISUAL
cropResistant
|
2e3e9ecda008070e,00d0c0d2d2c0d080,4511213131090141 |
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 797 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.