Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102D150310200603D666B6572EB303A56633BE30ECE725E4027E87B856AE2CD9C943EE5 |
|
CONTENT
ssdeep
|
192:BlAZp4ZmXODXWXlDrILh2kEMEirNinKTdfhYq5VeLLxmF9L0yrLWcLgrLJhI:PAZp4ZmXODXWXlDrILh2kEMEirNiKTMo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966e68c333399 |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
081010b2b2323000 |
|
VISUAL
wHash
|
0018383838383830 |
|
VISUAL
colorHash
|
38000008012 |
|
VISUAL
cropResistant
|
a280a48692b280a2,081010b2b2323000 |
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 208 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.