Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9E3B5B85391153E609747E0F290E76DD1BD8B88EF93AC6AF3BC41835BCAC58CA17254 |
|
CONTENT
ssdeep
|
1536:GD/Xv19FHKBRTyf8eog15ap1ajEqNmGb/FF5tyov7EiSDAr16Ik5:GD8udI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9713ec3cbc68e143 |
|
VISUAL
aHash
|
002e2404040000ff |
|
VISUAL
dHash
|
b4ccccdcdcdc2017 |
|
VISUAL
wHash
|
0e7e7e0e0e0e00ff |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
160016161600060e,b4dcccdc5cdc1c23 |
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 13 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.