Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0F284DEA1A0003B8243DDEF7662534CA1DEC46ACC057DA6CE9503D71D4BEA6960FB4B |
|
CONTENT
ssdeep
|
768:V0Ocp+p3ia4pNKNpipVr/9pQpIQkUpMud6ySdmd8BgrkIBAZwsUQiFeuZRWc5Oa8:m5ABE7wEHVaGKGud6K8BgrkIBAZwsUQr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b198a66789e664cd |
|
VISUAL
aHash
|
efc7c7ffffc3c7c7 |
|
VISUAL
dHash
|
8c1c9e18188e0c1c |
|
VISUAL
wHash
|
6fc3c3cfccc0c4c0 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
8c1c9e18188e0c1c |
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 5 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.