Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3532AE83751F3214A7301E741AF34457339B66B181C0A90B16DD9A9FAB88F6B01BFC9 |
|
CONTENT
ssdeep
|
768:FlYjELPyDT0XVqsX7rF/SdQTpiGGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+ul:VLqDT0XVzX7rF/SdqpRzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1658e9e65318e66 |
|
VISUAL
aHash
|
ffffc3c3c3ffffff |
|
VISUAL
dHash
|
4e208e9e861c1e1e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000600030 |
|
VISUAL
cropResistant
|
4e208e9e861c1e1e,8b460c8c8c885c59 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.