Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C312614006293F26DFB5F790B1FBA86ADDC15ED1B610C4E39D6F890FC9E80907E662 |
|
CONTENT
ssdeep
|
3072:ZOEY7YQYqY4NYNYJYqYBYTYeYMYLYJY3YbYm07VkQ2DYe0xlNLYvYzYmYUYKoYB7:AEY7YQYqY4NYNYJYqYBYTYeYMYLYJY3t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbb6564a964a9696 |
|
VISUAL
aHash
|
fc87fff9ffb9f93e |
|
VISUAL
dHash
|
555ec15b4a535358 |
|
VISUAL
wHash
|
bc027868aaa8f8be |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
555ec15b4a535358 |
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 956 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.