Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE45393B76853331468B31B5FA9F91DCF778C068621A1094A49CC29824A5E7AC37FDDE |
|
CONTENT
ssdeep
|
24576:kf+AkaZZhj6qYKMIxo7racuH5YbofCE25:kf+AnZhj6qYK9oScW5YbofCEC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cb827b7d889629c |
|
VISUAL
aHash
|
1a1f1f1f1f1f1f00 |
|
VISUAL
dHash
|
f2f4b0b232706470 |
|
VISUAL
wHash
|
0e1e1f1f1f1f1f00 |
|
VISUAL
colorHash
|
00040007000 |
|
VISUAL
cropResistant
|
c4d0c8898888b8c9,f2f4b0b232706470 |
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 5050 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.