Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC31227120001A3703139DC669C3F77A7586860FEECA1800ABF547F5EAF6C61E44CA1B |
|
CONTENT
ssdeep
|
24:hnCGN/+TN/0AdVT8Zc1Niiy4uw/dKfpr6tOKinskTkrnl1:pNmTNMSMcnG4XdKRro1is2a1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1c1c3c3daf8387 |
|
VISUAL
aHash
|
089c7efbfffffffc |
|
VISUAL
dHash
|
3038f88b00000000 |
|
VISUAL
wHash
|
00087ec3fffef0c0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
3038f88b00000000 |
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 6 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.