Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177723DB5621812B5CF4343D6FD2213EEA107517DBA436BECE7A4C228B295DBD8A70DC1 |
|
CONTENT
ssdeep
|
192:QoloBO5t4sNwxO1AyBtdAyd6FyxtqaVbLo4ku9cuGRmKbMpBXp7sfgg8gk:QQokDw41Jd6Fyxt5bMDsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
972a75aa552a55aa |
|
VISUAL
aHash
|
01196f3f3f3f3f06 |
|
VISUAL
dHash
|
43f3cd6d66684bce |
|
VISUAL
wHash
|
01010f3f3f1f3f0e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
43f3cd6d66684bce |
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 490 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.