Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F5161B3945DB9132B51DADCF8E0E34EE583C68D86C46EC8E2E5C11E65C1EFAC980245 |
|
CONTENT
ssdeep
|
48:lmIT+W1nIGNcIjjdPpRjjcwXwdPzcXX0WrRb0Vt6W89bxLxROWzAFy2MeP:15byPzMqw99tlzgyfeP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3336464339b6571 |
|
VISUAL
aHash
|
c3efededc5c3ffff |
|
VISUAL
dHash
|
8609096989866800 |
|
VISUAL
wHash
|
003c3c3c043c0000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8609096989866800,0141919191610101 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.