Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19943A53912482F2DA55BC6E4F3E4B378626DC288E66BD559E2FC01721BC7C44E8376D4 |
|
CONTENT
ssdeep
|
768:0+z+FD+QhZiQYJmY/YBYjgk2K3gTiPRroQ+WYeYvYHY1YnYjKssssFKssssWKss/:0+z+lIr31+MssssYssss5ssssDqo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8eb53155dbcca431 |
|
VISUAL
aHash
|
0707333f3c300000 |
|
VISUAL
dHash
|
d61e6763f0666011 |
|
VISUAL
wHash
|
5f0f333f3f3b0001 |
|
VISUAL
colorHash
|
30018000c00 |
|
VISUAL
cropResistant
|
d61e6763f0666011 |
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 10 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.