Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7435CE83651F2255A7342E741AF3416333E752F2C0C09A0F268E9DAE5B44EAB057FD9 |
|
CONTENT
ssdeep
|
768:F3YjVXPd4U5miZrTpiNGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:uXF4U5lZvpKzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b109cece65319b66 |
|
VISUAL
aHash
|
ffffc3c3c3efffef |
|
VISUAL
dHash
|
4e209e96961e1e0c |
|
VISUAL
wHash
|
00dfc3c3c3c3c3c7 |
|
VISUAL
colorHash
|
07610000008 |
|
VISUAL
cropResistant
|
4e209e96961e1e0c,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.