Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3639731A48904BB02B7D6C0F0667F1A71E6F71FE18AD0925AFC8AA65FD3DB5B800574 |
|
CONTENT
ssdeep
|
1536:am0eibyldRimikIco4nPFb+K/+Bvtx76/:am0eTdQBy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
816c1d2ae6df0b2d |
|
VISUAL
aHash
|
000038fff71c0800 |
|
VISUAL
dHash
|
6394f05ccfb852d4 |
|
VISUAL
wHash
|
010038ffffdf9824 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
6394f05ccfb852d4 |
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 385 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.