Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A26F8E0718055AA6C5743C2BE20F951430EF8F4EFCA59CA63DC96C863E7992ED261C7 |
|
CONTENT
ssdeep
|
12288:07kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkL:F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7c5fc7a38383828 |
|
VISUAL
aHash
|
d9fefe7e00008000 |
|
VISUAL
dHash
|
1342c2d000000000 |
|
VISUAL
wHash
|
fffffefe00808000 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
1342c2d000000000 |
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 14 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.