Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF418671709017576A93CDADB6E1B708ACCFC70BCA27C924E9EB40DE2BE1EA4C911511 |
|
CONTENT
ssdeep
|
48:8IDHr5kiU+PXmR59O6beoJIfdS9kFna70PB1kF9Io70PBXOX8TCxD3:brlshZbeogCkF1bkF98ucCxj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d8666699998c66 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b24c30 |
|
VISUAL
wHash
|
e0c0fcfc3c3c3030 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
8c0e203560614d96,304cb2b2b2b24c30 |
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 16 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.