Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163E272312252617FE35B99F0B1A6BB5AB18FC30DCD87851AA3DC83974FCAC91DE02456 |
|
CONTENT
ssdeep
|
384:fUGQA2KDzg1X1J1x141x1M1q1P181E1X1J1x141x1M1q1P181e0n1B/:8RLFrzCz2QdGuFrzCz2QdGe0n1B/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0f50adba35b9331 |
|
VISUAL
aHash
|
ffc3c3c3c3ff0000 |
|
VISUAL
dHash
|
4c8686961696b255 |
|
VISUAL
wHash
|
ffc3c3c3c3ff0000 |
|
VISUAL
colorHash
|
0e000000006 |
|
VISUAL
cropResistant
|
4c8696969696968e,0101010101010101,1032b2323b95d555 |
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 14 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.