Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABA1843B6A44351E65B792D511E1F659E30AE442CB700E95D0E88BCDAEE2FD8B233324 |
|
CONTENT
ssdeep
|
96:WrLS9+xrLS5XrLSSvN0hYHL+LnZNzkfMkiUtODMQsx:WrL3rLKXrLXvN02r+LnZlO5kD4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d83a36dd2b33218d |
|
VISUAL
aHash
|
081c1818183c7e7e |
|
VISUAL
dHash
|
30b0b33333f0f0f0 |
|
VISUAL
wHash
|
0c5c1898987e7e7e |
|
VISUAL
colorHash
|
1a400018000 |
|
VISUAL
cropResistant
|
1004717969691420,c6c4e4e4e4e42b3a,100c323232320c20,30b0b33333f0f0f0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.