Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0632AE16944FD2315F380D3209F964AB73A060BFA1D8D907148CBDAB7EE82716677B1 |
|
CONTENT
ssdeep
|
768:YPCT0TQH7YFc5UcikcNR57bmXQYKfs0nVzc+b42NB2jIGrTnzq8QE12OlDlGYQZ6:YPqik457bmXQYKfs0VzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad4630bcc6f047e9 |
|
VISUAL
aHash
|
000000ffffc3c3c3 |
|
VISUAL
dHash
|
d470e0e0232b3b0b |
|
VISUAL
wHash
|
000000ffffffc3c3 |
|
VISUAL
colorHash
|
13003000240 |
|
VISUAL
cropResistant
|
e1200b232b3b3b0b,94d470f0f0f8e0e0,14d45592d473d434,23232b3b333b0b82 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.