Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0532272B104127A816BD7C4E8113F297AB3EB2FD24EC4145AEC81A79FC7CA4F965C94 |
|
CONTENT
ssdeep
|
1536:caM+Ru6tRK3O2MQ2HR2MR2Dm20P2DA2CJ2dd2dQ2yA23Z2kS2dO2Yb2Hex2lF2j0:cP9QwmjpffdqFuQINV9+sgxxsluN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b367338ccc8cd989 |
|
VISUAL
aHash
|
e7e7e7f7e7efffef |
|
VISUAL
dHash
|
4d4d4d050c0c8ccc |
|
VISUAL
wHash
|
c3c3c3c3c3c343c7 |
|
VISUAL
colorHash
|
07201010201 |
|
VISUAL
cropResistant
|
4d4d4d050c0c8ccc,41f0e2e0b299f9b8,4121998ccc1c1c53 |
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 44 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.