Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190B3A4747050ABBF01C3E3E0E7355B1A739682AACB239A0993F193DD1BD7C54CD668A4 |
|
CONTENT
ssdeep
|
1536:AdOHa8wAaxwVa8w+SyIJbxc+RknYg4s10mt29jNxJkgzrUp1DQhuVA5ZM18SmkZz:AdO6bZywbTc+Rkqp3kjG7qT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a617c9cd12e893b6 |
|
VISUAL
aHash
|
ff00000000ffff01 |
|
VISUAL
dHash
|
67ccccdc4c433333 |
|
VISUAL
wHash
|
ff00020006ffffd9 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8663636363626e86,8300034333333323,ceccccccdcdc4c4c,0327093939391a01 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.