Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAE120E2C6013E1A1B3A70D0DE07BA0552F3F49ADB9664857CE8950D97C6FB1806BE33 |
|
CONTENT
ssdeep
|
96:R/suhsyGufa9aLav71I+vZQ5XqwKEJJQSvXZnk9S76nkaOxJ47kJuO5W5OgQ2V5:cyJfSsQ71Is+pQSvAigw47AuO5W5Vb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd983267cd989867 |
|
VISUAL
aHash
|
0000181818000000 |
|
VISUAL
dHash
|
100cb2b270680000 |
|
VISUAL
wHash
|
00003c3c3c3c0c0c |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
a2b2a6aeb2a6b2a2,100cb2b270680000 |
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 266 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.