Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBB3413095C3A877417383C1A0366B1D21E2B348DE230955A7FD83BE5BDEDA6FC291A5 |
|
CONTENT
ssdeep
|
1536:XnO449SSU1c3f3qWVdXCne7iujFlAEhWByn6OHSBHzSCTcpfrfO2hhzNOq6KQZ4k:2oWyOI3eRcxbdecVoz9b+Mvp3phc1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af48f024afca36c9 |
|
VISUAL
aHash
|
000000000103ffff |
|
VISUAL
dHash
|
c9c07173736ea54c |
|
VISUAL
wHash
|
606030392307ffff |
|
VISUAL
colorHash
|
06006000080 |
|
VISUAL
cropResistant
|
6505000008024e4e,c9c980717173666c |
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 49 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.