Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113C42CB0A0102D3B01DB83D4F6B4670BB3B4D349E90A45915FE8DF982FDAEA0DE1A55D |
|
CONTENT
ssdeep
|
6144:x9deMwh2jPphdyjy9VC/cYXw5iu9T14h04yzn9/y:x9deMwh2jP3dyjy9VC/cYXGf1n96 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c99cb6b3b0c68947 |
|
VISUAL
aHash
|
ffff381808080000 |
|
VISUAL
dHash
|
6952f3d2d2d3c182 |
|
VISUAL
wHash
|
ffff787878382000 |
|
VISUAL
colorHash
|
39600018000 |
|
VISUAL
cropResistant
|
01a9406969608040,0000000000000000,0000000000000000,52f3d2d2d3c1c3a2 |
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 495 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.