Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A241629142442B16F3C4C0EF63BF1CA1A7E35FC95A8990AEAC81E94FC7DB0B457674 |
|
CONTENT
ssdeep
|
192:4e3SRMPohJkHu9kXHQfLVC/Y/n/AD/D/F/Q4/JI/X/s/8V/V/Z/4/2Mkot:4e3nPD7XwfLVCA/YDbt/av0EVNRw+v+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4a436eaca6aa6e4 |
|
VISUAL
aHash
|
f3ffffffff000000 |
|
VISUAL
dHash
|
a58ca6d1d0080000 |
|
VISUAL
wHash
|
617e7e7e78000000 |
|
VISUAL
colorHash
|
38001000181 |
|
VISUAL
cropResistant
|
a58ca6d1d0080000 |
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 28 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.