Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDC35432E195CA3A0CC355DCF69097082A9DD306FB32558AB2E572BFB78DEE5641039C |
|
CONTENT
ssdeep
|
1536:v4wBfxcNXYoFBTHdHEH3VypzrzlzMxJHz:wwAFBbpHpQXT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3853436bec5c19e |
|
VISUAL
aHash
|
2220787b7f600000 |
|
VISUAL
dHash
|
46c6d0c249d1c000 |
|
VISUAL
wHash
|
7362787fffe12000 |
|
VISUAL
colorHash
|
38033000000 |
|
VISUAL
cropResistant
|
46c6d0c249d1c000 |
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 803 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.