Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2D240306001A6771283A3D1B23557AB67E2D380DB230699AFF8832D6FDBD95CD36578 |
|
CONTENT
ssdeep
|
768:DGl7tIurIUXhdvcFgN5tYJWKHSdmvuHqMEQ2ZrP/GUH+K0PN:al7tIurIUX7cFgNjYMKHSdmvuHqMEQ2o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1cb680bcb6dca23 |
|
VISUAL
aHash
|
ffffffffef0000c3 |
|
VISUAL
dHash
|
6396960649969697 |
|
VISUAL
wHash
|
f9ffefff000000c1 |
|
VISUAL
colorHash
|
06031000000 |
|
VISUAL
cropResistant
|
6396960649969697,512f2cacb29ad28a |
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 46 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.