Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D837371A192AC770163C3E0E2366B1E61C5A34CCB130666E7FC836E5BDED65FC2A194 |
|
CONTENT
ssdeep
|
1536:OHOB44xJcB0+gvAfjMk/Gr1KByz5z89vocF5Yy6opfaVzNzWq2OqQZWcLTnB0+gg:nJpLrnf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3a92ee049a6c39 |
|
VISUAL
aHash
|
fffb899191f1ff7e |
|
VISUAL
dHash
|
2c323333232303b2 |
|
VISUAL
wHash
|
02bb819191f1f97e |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
2c323333232303b2 |
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 139 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.