Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A439830A9C2A8374193C1D49F7A971B76E0F74AC6430705ABF8C3AC6BEED5AED05548 |
|
CONTENT
ssdeep
|
1536:yiv2VN2FjzMMvU+RJoXTrmvWXHXsvGXjS9cvLsDgH:zVcD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333999999616566 |
|
VISUAL
aHash
|
cfe7c3c3ffffe7ef |
|
VISUAL
dHash
|
104d0e0e10180c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07200008048 |
|
VISUAL
cropResistant
|
104d0e0e10180c1c |
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 13676 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.
Pages with identical visual appearance (based on perceptual hash)