Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165D21735A601456B43BB99C5E6717F2F71D3F30F80068506ABBD918A2FC7CB6BB60162 |
|
CONTENT
ssdeep
|
384:SDU2yIiQFxF0F0FNbFiFO1FmFFMUvo+3+8:SvD88NhmOPyFMb8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999b33ce26cc2699 |
|
VISUAL
aHash
|
081c180000183800 |
|
VISUAL
dHash
|
093a322028b2b24c |
|
VISUAL
wHash
|
0d3c1c1818383c00 |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
feec6c7c6c6e6e4e,21944b6b4646a048,728d6c4b4b568668,093a322028b2b24c |
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 37 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.