Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E32183B28C70A09A03134BE889E0B60A36DAD74E5E43058079DAC7AE06CCEE6EC11C1D |
|
CONTENT
ssdeep
|
24:hPcOupTjCE1Z4QOdsXQSKeemWYYtExanGlsc56g2nWVmjiAsZA4:pLupPLZ41CQhe7WWS+Nz2nomjUA4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6669999cc663366 |
|
VISUAL
aHash
|
ffe7e7e7ffffffff |
|
VISUAL
dHash
|
324c4d4c2a323008 |
|
VISUAL
wHash
|
3c24242418181c0c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
324c4d4c2a323008,100832320c32320c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Victim connects wallet and signs malicious transactions. Attacker drains tokens across multiple blockchain networks using chain-specific draining methods (Approve, TransferFrom, Set Authority, etc.).
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.