Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A33B47090489B3B0383C6D1F271AB5AB3C6C28ECF271645A7F8578E4FDBE96C945A05 |
|
CONTENT
ssdeep
|
768:oy44pXhHxEerXgb2e+8vAs6s6Ha1XUb7jmJM9cVUf7d:oF4pXhHx9rXgb2eQXX61o7jGy7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98287673a2dcd9e2 |
|
VISUAL
aHash
|
03071f1f7f08f8f8 |
|
VISUAL
dHash
|
bfeff7f7ef1a0010 |
|
VISUAL
wHash
|
43071f1f7f00e8f8 |
|
VISUAL
colorHash
|
0a0000001c0 |
|
VISUAL
cropResistant
|
bfeff7f7ef1a0010 |
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 746 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.