Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C46274606894003F17B702CE7D226F2D71F7816AC6631901B6F84B9FABDED91AC1649F |
|
CONTENT
ssdeep
|
384:UfqERzx6xc/nE6dPTjopEehZLaFSObRbDHNei2Kfy2KU:UfqjygaFSkqiv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d65157423b5a5b91 |
|
VISUAL
aHash
|
0000008cfffdffff |
|
VISUAL
dHash
|
d0aeaa31aaa9692a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
02000030000 |
|
VISUAL
cropResistant
|
8282c2c2c2c28282,acaa3915aaed292a,d0c0c0c823414920,6f2bcf6733991131,23f3e7e5a62d29b1 |
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 5326 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.