Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A2ED22705249BB407BC2D5A870BF8DA9E2F70EC556C505F3FC16481FCAEBAF961864 |
|
CONTENT
ssdeep
|
384:lPBdx9agSKQygNf8lxR9TbwL6VlxL9tb1R6VlxP9dbJu6Vlx/9tbnB6VlxG9gbrr:ZBdx9agSKQygNf8lxRRbwL6VlxLnb1Rf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99996666666666 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
3232323220202030 |
|
VISUAL
wHash
|
3c3c1c1c18183838 |
|
VISUAL
colorHash
|
3800b000200 |
|
VISUAL
cropResistant
|
3232323220202030 |
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 16 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.