Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5E229B4A230E335B1C247E8DA64256C7A5FE1DCD7C695B0E388AF51B0D6CE8D9160CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguDvH40RhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As8SRWyMd:Y7fUWeguDphhPhleMeDGCSPxeeWmHbW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7063c23593e496f |
|
VISUAL
aHash
|
0036707078689e98 |
|
VISUAL
dHash
|
34c4c6c1d3d45433 |
|
VISUAL
wHash
|
80367e70787cbe98 |
|
VISUAL
colorHash
|
30006200040 |
|
VISUAL
cropResistant
|
e8acb88e8ca8e1e6,c0e0f0f8fcf8f8fc,e4e4e5e0e8e0a060,34c4c6c1d3d45433 |
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 69 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.