Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCA250605085686B5203DED8E427CB0F31CB439EDB122DD594FDDAEA7BC2C748C1BAA5 |
|
CONTENT
ssdeep
|
384:y8qT15NJ8N9qhj1P0aI91pEHNuMWd4IFslwyZdC:u1fl/mkNPWd4IOwyfC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d280ad5652adaf56 |
|
VISUAL
aHash
|
3f7fff7f3cfcffff |
|
VISUAL
dHash
|
c0c880a3c4000203 |
|
VISUAL
wHash
|
30277f7f00513233 |
|
VISUAL
colorHash
|
07208000c00 |
|
VISUAL
cropResistant
|
c0c880a3c4000203 |
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 25 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.