Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167521E706244A63F433382C9F5956F5238C6C259EE8A16456BF817FA6FF7C90A92C10B |
|
CONTENT
ssdeep
|
384:/EIep5zv9FNxNtnIvOxjZdv9h8sVTJrFrlLkQh8sVTJrFrlLi7iYR:MDpNzbwBdnmA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d18e7326333dccc |
|
VISUAL
aHash
|
1b191800181838f8 |
|
VISUAL
dHash
|
b733b33232326041 |
|
VISUAL
wHash
|
1f1f19181818d9ff |
|
VISUAL
colorHash
|
38001c40000 |
|
VISUAL
cropResistant
|
b733b33232326041 |
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 4 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.