Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10053A770D191723B825B7280AB22B369F3978342CB5107E946F0A11E9BEBF95CD3356D |
|
CONTENT
ssdeep
|
768:tlpbbx2ffmfdNddNOdN1dNldNjA3csnOpR4K5MZrJMOfH9W6sggj:tlpB3ByRBnAMsItSZrCOfH4hggj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9499cb63d23b89c |
|
VISUAL
aHash
|
0000000007ffffff |
|
VISUAL
dHash
|
f1f0f1c016080e33 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1b000000180 |
|
VISUAL
cropResistant
|
1c140c0c0c123233,31e1d0f2b1d1d663 |
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 249 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.