Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188434DE43651F2255A7342E740AF3416333E752F2C0C49A0F229EDDAA5B44EAB067FD9 |
|
CONTENT
ssdeep
|
768:F/YjtX0k3wh1Tpi3GMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:OX33whRpMzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a49b9b64669b1966 |
|
VISUAL
aHash
|
ffffefc3c3c3e7ef |
|
VISUAL
dHash
|
4c101c8e86961e0e |
|
VISUAL
wHash
|
00cfc7c3c3c3c3c3 |
|
VISUAL
colorHash
|
07010000030 |
|
VISUAL
cropResistant
|
4c101c8e86961e0e,edf17159754c8802 |
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.