Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE53CB20B14454AB52B38BC1F4617F4E35C2F34FC289D5A48AFE92A85FE3DB5BD109A4 |
|
CONTENT
ssdeep
|
384:4KSj3PI3PGajD9YjMIReY++aPTvxJBw6CF8oSgCrfMZUljyiZGt0RBPiRqGt0L:46DG/ReY+tS8FP3j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa2f7525c2888f97 |
|
VISUAL
aHash
|
00009dfdbf9f99c0 |
|
VISUAL
dHash
|
211f71314d73b3aa |
|
VISUAL
wHash
|
00009fddbfbf19c8 |
|
VISUAL
colorHash
|
13400030000 |
|
VISUAL
cropResistant
|
9dafda5cf4a6a9e1,5bcbc9ca9271c4c9,60709edbdcae646c,211f71314d73b3aa |
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 4002 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.