Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147138C3310CA9CFF19E2A3C196B1472A65A1B3A0F90A465387F4874F5EC7FA5CC65836 |
|
CONTENT
ssdeep
|
384:ECqLhFfNBXELiy/Y+nPacLU4u4gt3H16E9Ius2hJNOJD:EHFlZELk+CuIqD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2c6733333333 |
|
VISUAL
aHash
|
18181c1838343c00 |
|
VISUAL
dHash
|
3232707071697160 |
|
VISUAL
wHash
|
003c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
3232707071697160 |
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 64852 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.