Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8B23C75664011A703BB99C1F2607F1F76D6F30F81098152ABFD919A2FD7CBABB210A1 |
|
CONTENT
ssdeep
|
384:am9mbcjAtR9xN8k1MdFgFLFOFvSaeFwIhHwFwL2+usucJ:d9mbcjAtR9xtMHAxqLY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccccc613333333c7 |
|
VISUAL
aHash
|
3818181818181810 |
|
VISUAL
dHash
|
20b2323232323220 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
072000000c0 |
|
VISUAL
cropResistant
|
20b2323232323220 |
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 26 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.