Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC4430707D03683A20AF61DF9167570E61C1D7C9D6132AE5A6F0936C9AF9DA0FFE2240 |
|
CONTENT
ssdeep
|
3072:M4ONNOW0YN+vFst8KsDHV4APagLBrw1Phlad33e:M4g0YN+vFsS5DHV4APagLFwthlade |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bcfaa9976287428 |
|
VISUAL
aHash
|
ffff000000080304 |
|
VISUAL
dHash
|
6969071ffcd89f0d |
|
VISUAL
wHash
|
ffff0001041ecf87 |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
00c0806969696040,8000806d2d8000a2,0727976f6bb74747,1f0f3e7cf8db1d2d |
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 171 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.