Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF52E9AC01821A1B325745677260BF2DF0F66349CF1BEE4962FD52631BCEDE48A99234 |
|
CONTENT
ssdeep
|
192:QkCtBdBRwOizeT+SZ/D/JtYvXf3e934aeYD/wrcZ3jo4vGGg:QkCbLSOizeT++/4hrM3jo4uGg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96e0691f966f4896 |
|
VISUAL
aHash
|
0040660e0e040000 |
|
VISUAL
dHash
|
14808c8c8c8c8000 |
|
VISUAL
wHash
|
7ee0feef7fc00000 |
|
VISUAL
colorHash
|
38600018000 |
|
VISUAL
cropResistant
|
8282040606048282,14808c8c8c8c8000 |
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 162 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.