Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172534CE83751F2255A7301E740AF3456333E752B280C09A0E269E9D9F6B44FAB067FD9 |
|
CONTENT
ssdeep
|
768:F54Yj2yPi7HDFONLAbImTpimGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/3:HMyabfbZpBzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b119cece25318f66 |
|
VISUAL
aHash
|
ffffc3c3c3ffefff |
|
VISUAL
dHash
|
4e209e96960e1e1e |
|
VISUAL
wHash
|
20dfc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07610000008 |
|
VISUAL
cropResistant
|
4e209e96960e1e1e,bc3cbbf17136d616 |
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.