Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174C141679544323B43735AC1F232BB7AF2D7E60CC35A0A1463FC63884BC2D94D629966 |
|
CONTENT
ssdeep
|
96:RI6k3KiysdvGZpUNaJrDDrNByKaI7bOI3:S6k3KiyuGpUNaJrDVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c66cb8b3363c9c |
|
VISUAL
aHash
|
00703c7cfff90000 |
|
VISUAL
dHash
|
94c4e8c9d9f3d4a4 |
|
VISUAL
wHash
|
06703c7ffff90600 |
|
VISUAL
colorHash
|
30008000c00 |
|
VISUAL
cropResistant
|
2daa6a2da9e26313,c6474d06264d4cb4,94c4e8c9d9f3d4a4 |
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 1322 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.