Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11122B87217082D7C7547CBA4D6A6B738122EA1DAFA7F45BCA99D4371AFC2C84C81B580 |
|
CONTENT
ssdeep
|
192:tMSBkaARZuczmqDeWhCkFCjwBa43dgHKPc1RcW+k0Py89Ux3PZ+eaePupe/:WSmRfuczmqDeWt2wBz3dgH+c1RcW+37k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fc4f400c786f6b6 |
|
VISUAL
aHash
|
3e183c3c3c1d0387 |
|
VISUAL
dHash
|
f433716171f13f7f |
|
VISUAL
wHash
|
3e183c3c3c0f878f |
|
VISUAL
colorHash
|
38007200040 |
|
VISUAL
cropResistant
|
f433716171f13f7f |
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 215 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.