Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3E3953562551B3E5127C7EAF295BB7410E9C34EE2678129F2BC027613CADA5EC336C8 |
|
CONTENT
ssdeep
|
3072:opLuY0TEFdWBy+IE8GJMhDG6CUZZCEZa1:NEFuUa1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c096d23f828c9dee |
|
VISUAL
aHash
|
7ee4fc7f0140607e |
|
VISUAL
dHash
|
c48c9494839284c8 |
|
VISUAL
wHash
|
7efef05f0048407e |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
c48c9494839284c8 |
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 27 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.