Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127357462F340D5292A4381762FAFA9844135AE44EB06735BBC77CC21CA856BD1B37F6C |
|
CONTENT
ssdeep
|
1536:WzbV/YD7l6Aybz7bz1tbzbbzObzWbzFbzDbzVbz1Ybzbbz5bzpbzFbzYbzIbz1zB:MifUW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96456d9496496dd6 |
|
VISUAL
aHash
|
0000307e7e0e0081 |
|
VISUAL
dHash
|
d438c2ccccb88339 |
|
VISUAL
wHash
|
7e007e7e7e7e0081 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
d438c2ccccb88339 |
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 6754 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.