Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A743973032C41A2E16A746FEF1D1F37490ADC599D5A3C7AEF3AD4172178BCA699232D0 |
|
CONTENT
ssdeep
|
768:m3pkmZeAxZEoY8E6Y03ar0dLEAMWciQi4OQHtccGJ0HfT6PD3wvjW1qeekuYwY15:m33EOOtGJ0ulLpwg0u8xkVlVV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d88d36e3631c6be0 |
|
VISUAL
aHash
|
001e1c18ece0c000 |
|
VISUAL
dHash
|
52b4b0f08a11b092 |
|
VISUAL
wHash
|
807e7e7cffe8c000 |
|
VISUAL
colorHash
|
38000001041 |
|
VISUAL
cropResistant
|
52b4b0f08a11b092 |
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 10 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.