Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C722F709109AA3B819382D6A736637B73F18286CB07121457FD836CDFEAEC5EC27558 |
|
CONTENT
ssdeep
|
192:9TALGme+XCXjXJXG3/hLYZa665KGz7GYUYDUJFhhLTudBpHyEbIL:eNeuvNzHGYUYDU3h1qd2L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9c993336363791 |
|
VISUAL
aHash
|
021818183c001818 |
|
VISUAL
dHash
|
9633323070203032 |
|
VISUAL
wHash
|
5e3c3c18ff183c38 |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
9633323070203032 |
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 4468 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.