Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A232B934635C683E500792CCF146FB5D70DB426CDF4B4318A2A42BBB6BD6CA6D732299 |
|
CONTENT
ssdeep
|
192:sK4HWWKHWWmHWWJP6wAWBP2syrgkfW2bayjOBl:ZA121C1MJg01f9bayjOL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2493cbcb4c34b4b |
|
VISUAL
aHash
|
0707070707070707 |
|
VISUAL
dHash
|
afcfcdcdcdcdcd2d |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
33e00000080 |
|
VISUAL
cropResistant
|
3fbb3b90a0a0a0a0,c9e1f1f3f1a4f018 |
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 79 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.